Triple

T12497855
Position Surface form Disambiguated ID Type / Status
Subject Martu people E298739 entity
Predicate language P15 FINISHED
Object Kartujarra
Kartujarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region in Western Australia.
E987214 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: Kartujarra | Statement: [Martu people, language, Kartujarra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kartujarra
Context triple: [Martu people, language, Kartujarra]
  • A. Jauja
    Jauja is a historic highland city in central Peru, known as the country’s first Spanish-founded capital and for its colonial architecture and Andean cultural heritage.
  • B. Frasqueira
    Frasqueira is a premium category of Madeira wine denoting long-aged, high-quality vintage bottlings.
  • C. Sierroz
    Sierroz is a river in eastern France that serves as one of the tributaries feeding into Lac du Bourget.
  • D. Turrubares
    Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
  • E. Ustaritz
    Ustaritz is a commune in the French Basque Country, near Bayonne in southwestern France, known for its Basque cultural heritage and scenic setting along the Nive River.
  • 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: Kartujarra
Triple: [Martu people, language, Kartujarra]
Generated description
Kartujarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region in Western Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kartujarra
Target entity description: Kartujarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region in Western Australia.
  • A. Jauja
    Jauja is a historic highland city in central Peru, known as the country’s first Spanish-founded capital and for its colonial architecture and Andean cultural heritage.
  • B. Frasqueira
    Frasqueira is a premium category of Madeira wine denoting long-aged, high-quality vintage bottlings.
  • C. Sierroz
    Sierroz is a river in eastern France that serves as one of the tributaries feeding into Lac du Bourget.
  • D. Turrubares
    Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
  • E. Ustaritz
    Ustaritz is a commune in the French Basque Country, near Bayonne in southwestern France, known for its Basque cultural heritage and scenic setting along the Nive River.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfa98348190b9ac164ecdada6fe completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64baf73188190af29b57f8ae9253f completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64ce0ca288190bbbcb5459f914c19 completed May 2, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f64df6488481909dea8387e7000d15 completed May 2, 2026, 7:18 p.m.
Created at: April 8, 2026, 9:57 p.m.