Triple

T21456201
Position Surface form Disambiguated ID Type / Status
Subject Central Azerbaijan E529344 entity
Predicate hasCity P316 FINISHED
Object Yevlakh District 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: Yevlakh District | Statement: [Central Azerbaijan, hasCity, Yevlakh District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yevlakh District
Context triple: [Central Azerbaijan, hasCity, Yevlakh District]
  • A. Yevlakh District chosen
    Yevlakh District is an administrative region in central Azerbaijan that encompasses the city of Yevlakh and surrounding rural areas.
  • B. Mardyan District
    Mardyan District is an administrative district located in Jowzjan Province in northern Afghanistan.
  • C. Yasamal District
    Yasamal District is a central administrative district of Baku, Azerbaijan, known for its dense urban development, residential neighborhoods, and key cultural and educational institutions.
  • D. Nagorny District
    Nagorny District is an administrative district (raion) of Moscow, Russia, known for its primarily residential character and location in the city’s Southern Administrative Okrug.
  • E. Gadabay District
    Gadabay District is an administrative region in western Azerbaijan known for its mountainous terrain, mineral resources, and historical sites.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d6da3c819082a495f5434c5554 completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:08 p.m.