Triple

T1242124
Position Surface form Disambiguated ID Type / Status
Subject Baku Governorate E26679 entity
Predicate knownFor P22 FINISHED
Object Baku oil fields E26679 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 oil fields | Statement: [Baku Governorate, knownFor, Baku oil fields]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baku oil fields
Context triple: [Baku Governorate, knownFor, Baku oil fields]
  • A. Khasavyurt
    Khasavyurt is a significant urban center in the Republic of Dagestan, Russia, known as an important regional hub in the North Caucasus.
  • B. Baku
    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.
  • C. Baku Governorate chosen
    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.
  • D. Shuakhevi
    Shuakhevi is a small town and municipality in the mountainous region of Adjara in southwestern Georgia.
  • E. Dashoguz
    Dashoguz is a prominent city in northern Turkmenistan, serving as a regional administrative and economic center near the border with Uzbekistan.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf44ac3c8190a28a333b320305fd completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f79afe08190802dd615f01e303d completed March 7, 2026, 8:50 p.m.
Created at: March 1, 2026, 7:47 p.m.