Triple

T22734383
Position Surface form Disambiguated ID Type / Status
Subject Lar E562224 entity
Predicate languageUsed P238 FINISHED
Object Larestani NE NERFINISHED

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: Larestani | Statement: [Lar, languageUsed, Larestani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larestani
Context triple: [Lar, languageUsed, Larestani]
  • A. Kermani
    Kermani is a Persian-origin surname borne by various notable individuals, including writers, scholars, and public figures of Iranian descent.
  • B. Bakhtiari
    Bakhtiari is a surname most prominently associated with David Bakhtiari, an American football offensive tackle in the NFL.
  • C. Khonji Achomi chosen
    Khonji Achomi is a regional dialect of the Achomi language spoken by communities in parts of southern Iran and the Persian Gulf region.
  • D. Larestan
    Larestan is a county in southern Iran known for its historic towns, distinct local culture, and position within the broader Fars cultural region.
  • E. Central Luri
    Central Luri is a major variety of the Luri language spoken by Lur communities in western Iran, characterized by features transitional between Persian and Kurdish.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1796e4970819090fb9c9926673938 completed April 29, 2026, 3:22 a.m.
Created at: April 17, 2026, 3:22 p.m.