Triple

T15777412
Position Surface form Disambiguated ID Type / Status
Subject Baku City Executive Power E382524 entity
Predicate jurisdiction P82 FINISHED
Object City of Baku E81696 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: City of Baku | Statement: [Baku City Executive Power, jurisdiction, City of Baku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Baku
Context triple: [Baku City Executive Power, jurisdiction, City of Baku]
  • A. Baku chosen
    Baku is the capital and largest city of Azerbaijan, known for its rich blend of Islamic heritage and modern architecture on the shores of the Caspian Sea.
  • B. Shamakhi
    Shamakhi is a historic city in Azerbaijan known for its long-standing Jewish community and cultural significance in the region.
  • C. Kizlyar
    Kizlyar is a town in the Republic of Dagestan, Russia, known historically as a frontier settlement and trading center in the North Caucasus region.
  • D. Bulaq
    Bulaq is a historic district of Cairo, Egypt, known for its past role as a major port and commercial hub along the Nile.
  • E. Bulaq
    Bulaq were a Turkic tribal group historically associated with the Karluk confederation in Central Asia.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05199cd8881909462462cec34d35a completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb59779788190a393237f5293fe8d completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 4:47 a.m.