Triple

T21666912
Position Surface form Disambiguated ID Type / Status
Subject Kayanic E534745 entity
Predicate hasMember P10 FINISHED
Object Bahau language
The Bahau language is an Austronesian language spoken by the Bahau people of central Borneo, particularly in Indonesia’s East Kalimantan region.
 E1494938 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: Bahau language | Statement: [Kayanic, hasMember, Bahau language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bahau language
Context triple: [Kayanic, hasMember, Bahau language]
  • A. Bafia language
    The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
  • B. Ba’a language
    The Ba’a language is an Austronesian language spoken on Rote Island in Indonesia, forming part of the Rote subgroup of languages.
  • C. Barai language
    The Barai language is an indigenous Papuan language spoken by communities in southeastern Papua New Guinea.
  • D. Banggai language
    The Banggai language is an Austronesian language spoken by the Banggai people in the Banggai Islands and nearby coastal areas of Central Sulawesi, Indonesia.
  • E. Jahai language
    The Jahai language is an indigenous Mon–Khmer language spoken by the Jahai people, a small hunter-gatherer community in the Malay Peninsula.
  • 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: Bahau language
Triple: [Kayanic, hasMember, Bahau language]
Generated description
The Bahau language is an Austronesian language spoken by the Bahau people of central Borneo, particularly in Indonesia’s East Kalimantan region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bahau language
Target entity description: The Bahau language is an Austronesian language spoken by the Bahau people of central Borneo, particularly in Indonesia’s East Kalimantan region.
  • A. Bafia language
    The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
  • B. Ba’a language
    The Ba’a language is an Austronesian language spoken on Rote Island in Indonesia, forming part of the Rote subgroup of languages.
  • C. Barai language
    The Barai language is an indigenous Papuan language spoken by communities in southeastern Papua New Guinea.
  • D. Banggai language
    The Banggai language is an Austronesian language spoken by the Banggai people in the Banggai Islands and nearby coastal areas of Central Sulawesi, Indonesia.
  • E. Jahai language
    The Jahai language is an indigenous Mon–Khmer language spoken by the Jahai people, a small hunter-gatherer community in the Malay Peninsula.
  • 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0c236881909ffaefea8601b1c2 completed April 27, 2026, 2 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a15a32c1c8190a9ae4efb9d09e1dc completed May 17, 2026, 7:23 p.m.
NEDg Description generation batch_6a0a1635915081908c46794cdbaa4cde completed May 17, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_6a0a16c70cfc81908125358316e2a89a completed May 17, 2026, 7:28 p.m.
Created at: April 16, 2026, 6:37 p.m.