Triple

T5792281
Position Surface form Disambiguated ID Type / Status
Subject Lurs E128422 entity
Predicate language P15 FINISHED
Object Luri language E122577 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: Luri language | Statement: [Lurs, language, Luri language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luri language
Context triple: [Lurs, language, Luri language]
  • A. Luri language chosen
    Luri language is a Southwestern Iranian language spoken primarily by the Lur people in western and southwestern Iran.
  • B. Nomlaki language
    The Nomlaki language is an endangered Native American language traditionally spoken by the Nomlaki people of northern California.
  • C. Rarámuri language
    The Rarámuri language is an indigenous Uto-Aztecan language spoken by the Tarahumara (Rarámuri) people of northern Mexico.
  • D. Kayeli language
    The Kayeli language is an Austronesian language once spoken on Buru Island in Indonesia, now critically endangered or possibly extinct.
  • E. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • 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_69c00845ca68819081a2ce3ecca577f7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a5870b88190bbfaac2782635128 completed March 22, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09824c7f0819095565e0f29b3a508 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:51 p.m.