Triple

T11068242
Position Surface form Disambiguated ID Type / Status
Subject Absheron Peninsula E261678 entity
Predicate populationCenter P2106 FINISHED
Object Baku metropolitan area 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: Baku metropolitan area | Statement: [Absheron Peninsula, populationCenter, Baku metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baku metropolitan area
Context triple: [Absheron Peninsula, populationCenter, Baku metropolitan area]
  • 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. Baku Governorate
    Baku Governorate was an administrative division of the Russian Empire and later the early Soviet state, centered on the city of Baku in the South Caucasus region.
  • C. Baku Uyezd
    Baku Uyezd was an administrative district centered on the city of Baku within the former Baku Governorate of the Russian Empire.
  • D. Erivan uezd
    Erivan uezd was an administrative district of the Russian Empire located within the Erivan Governorate in the South Caucasus region.
  • E. 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.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7992164d88190a01ed567b2529227 completed April 9, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e76a49fc8190945f4770bf808b43 completed April 18, 2026, 8:19 p.m.
Created at: April 8, 2026, 9:26 p.m.