Triple

T14885106
Position Surface form Disambiguated ID Type / Status
Subject Gälpu E350100 entity
Predicate linguisticArea P17400 FINISHED
Object Arnhem Land linguistic area
The Arnhem Land linguistic area is a region in northern Australia characterized by a group of Aboriginal languages that share extensive structural and lexical features due to long-term contact and cultural interaction.
E1125481 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Arnhem Land linguistic area | Statement: [Gälpu, linguisticArea, Arnhem Land linguistic area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arnhem Land linguistic area
Context triple: [Gälpu, linguisticArea, Arnhem Land linguistic area]
  • A. Southeast Australia linguistic area
    The Southeast Australia linguistic area is a region of southeastern Australia characterized by a set of shared structural and typological features among diverse Aboriginal languages that have arisen through long-term contact and convergence.
  • B. Melanesian linguistic area
    The Melanesian linguistic area is a region in the southwest Pacific characterized by a diverse mix of Oceanic and Papuan languages that share many structural features due to long-term contact and interaction.
  • C. Sulawesi linguistic area
    The Sulawesi linguistic area is a region of the Indonesian island of Sulawesi characterized by intense contact among diverse Austronesian and Papuan languages, leading to shared structural features across otherwise unrelated language groups.
  • D. Remote Oceania linguistic area
    The Remote Oceania linguistic area is a region of the Pacific characterized by closely related Oceanic languages spoken across widely dispersed island groups such as Polynesia, Micronesia, and parts of eastern Melanesia.
  • E. Guadalcanal linguistic area
    The Guadalcanal linguistic area is a region on the island of Guadalcanal in the Solomon Islands characterized by a cluster of related and interacting Oceanic languages that share common structural and lexical features.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arnhem Land linguistic area
Triple: [Gälpu, linguisticArea, Arnhem Land linguistic area]
Generated description
The Arnhem Land linguistic area is a region in northern Australia characterized by a group of Aboriginal languages that share extensive structural and lexical features due to long-term contact and cultural interaction.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arnhem Land linguistic area
Target entity description: The Arnhem Land linguistic area is a region in northern Australia characterized by a group of Aboriginal languages that share extensive structural and lexical features due to long-term contact and cultural interaction.
  • A. Southeast Australia linguistic area
    The Southeast Australia linguistic area is a region of southeastern Australia characterized by a set of shared structural and typological features among diverse Aboriginal languages that have arisen through long-term contact and convergence.
  • B. Melanesian linguistic area
    The Melanesian linguistic area is a region in the southwest Pacific characterized by a diverse mix of Oceanic and Papuan languages that share many structural features due to long-term contact and interaction.
  • C. Sulawesi linguistic area
    The Sulawesi linguistic area is a region of the Indonesian island of Sulawesi characterized by intense contact among diverse Austronesian and Papuan languages, leading to shared structural features across otherwise unrelated language groups.
  • D. Remote Oceania linguistic area
    The Remote Oceania linguistic area is a region of the Pacific characterized by closely related Oceanic languages spoken across widely dispersed island groups such as Polynesia, Micronesia, and parts of eastern Melanesia.
  • E. Guadalcanal linguistic area
    The Guadalcanal linguistic area is a region on the island of Guadalcanal in the Solomon Islands characterized by a cluster of related and interacting Oceanic languages that share common structural and lexical features.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5f4598081908735e8d7dfce8074 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5d0a208190b2490c86b15a42db completed May 8, 2026, 11:01 p.m.
NEDg Description generation batch_69fe6c7cc6a481908b1b7e15cd7640a5 completed May 8, 2026, 11:06 p.m.
NED2 Entity disambiguation (via description) batch_69fe6e0950e481909c63e47bc98267bf completed May 8, 2026, 11:13 p.m.
Created at: April 10, 2026, 1:56 a.m.