Triple

T12497856
Position Surface form Disambiguated ID Type / Status
Subject Martu people E298739 entity
Predicate language P15 FINISHED
Object Putijarra
Putijarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region.
E999487 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: Putijarra | Statement: [Martu people, language, Putijarra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Putijarra
Context triple: [Martu people, language, Putijarra]
  • A. Combarbalá
    Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
  • B. Arujá
    Arujá is a municipality in the state of São Paulo, Brazil, known for its green areas and residential character within the Greater São Paulo region.
  • C. Trancoso
    Trancoso is a historic Portuguese town in the Centro Region, known for its medieval walls, castle, and well-preserved old quarter.
  • D. Itapevi
    Itapevi is a municipality in the metropolitan region of São Paulo, Brazil, known for its growing industrial sector and residential expansion.
  • E. Tanguá
    Tanguá is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and integration into the greater Rio de Janeiro metropolitan area.
  • 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: Putijarra
Triple: [Martu people, language, Putijarra]
Generated description
Putijarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Putijarra
Target entity description: Putijarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region.
  • A. Combarbalá
    Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
  • B. Arujá
    Arujá is a municipality in the state of São Paulo, Brazil, known for its green areas and residential character within the Greater São Paulo region.
  • C. Trancoso
    Trancoso is a historic Portuguese town in the Centro Region, known for its medieval walls, castle, and well-preserved old quarter.
  • D. Itapevi
    Itapevi is a municipality in the metropolitan region of São Paulo, Brazil, known for its growing industrial sector and residential expansion.
  • E. Tanguá
    Tanguá is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and integration into the greater Rio de Janeiro metropolitan area.
  • 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_69f67c6849d88190b33c9f50632811a8 completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67d64ed3481908d434c20796866f9 completed May 2, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69f67e82e35081909c4b5fad7e941610 completed May 2, 2026, 10:45 p.m.
Created at: April 8, 2026, 9:57 p.m.