Triple

T9051813
Position Surface form Disambiguated ID Type / Status
Subject Khasi language E216900 entity
Predicate relatedTo P37 FINISHED
Object Pnar language E762592 NE FINISHED

How this triple was built (2 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: Pnar language | Statement: [Khasi language, relatedTo, Pnar language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pnar language
Context triple: [Khasi language, relatedTo, Pnar language]
  • A. Pnar language chosen
    Pnar language is an Austroasiatic language spoken primarily by the Jaintia people in the northeastern Indian state of Meghalaya.
  • B. Patamona language
    The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
  • C. Patwin language
    The Patwin language is a nearly extinct Native American language once spoken by the Patwin people of north-central California and classified within the proposed Penutian family.
  • D. Pamona language
    The Pamona language is an Austronesian language spoken by the Pamona people of central Sulawesi, Indonesia.
  • E. Piipaash language
    The Piipaash language is a Native American language of the Yuman family traditionally spoken by the Piipaash (Maricopa) people of the lower Colorado River region in the southwestern United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7a700de48190aa9f61d850e01cbd completed April 1, 2026, 1:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebc90bf88190bbcdab07ca93f569 completed April 3, 2026, 4:33 p.m.
Created at: March 30, 2026, 7:10 p.m.