Triple

T2045629
Position Surface form Disambiguated ID Type / Status
Subject Azərilər E45443 entity
Predicate nativeName P15 FINISHED
Object Azərilər E45443 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: Azərilər | Statement: [Azərilər, nativeName, Azərilər]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azərilər
Context triple: [Azərilər, nativeName, Azərilər]
  • A. Azərilər chosen
    Azərilər are a Turkic ethnic group primarily inhabiting Azerbaijan and northwestern Iran, known for their Azerbaijani language and rich cultural traditions.
  • B. Azania
    Azania is a name used by some African liberation movements and activists to refer to a decolonized, non-apartheid South Africa.
  • C. Lazistan
    Lazistan is a historical coastal region along the southeastern Black Sea, traditionally inhabited by the Laz people and now largely within northeastern Turkey and parts of Georgia.
  • D. Hazaragi
    Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
  • E. Xaratanga
    Xaratanga is a principal goddess in the Purépecha (Tarascan) pantheon, associated with fertility, the moon, and the sea in pre-Columbian western Mexico.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9728f688190939d7c4df524f9b4 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae200125f081909ab40b6a04adaa25 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:39 p.m.