Triple

T2739877
Position Surface form Disambiguated ID Type / Status
Subject Tatarstan E60722 entity
Predicate containsCity P294 FINISHED
Object Almetyevsk E338443 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: Almetyevsk | Statement: [Tatarstan, containsCity, Almetyevsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Almetyevsk
Context triple: [Tatarstan, containsCity, Almetyevsk]
  • A. Almetyevsk chosen
    Almetyevsk is an industrial city in the Republic of Tatarstan, Russia, known especially as a major center of the country’s oil industry.
  • B. Nizhnekamsk
    Nizhnekamsk is a major industrial city in Russia known for its large petrochemical and oil refining complexes.
  • C. Novokuybyshevsk
    Novokuybyshevsk is an industrial city in Samara Oblast, Russia, known for its major oil refining and petrochemical industries.
  • D. Tolyatti
    Tolyatti is a major industrial city in Russia on the Volga River, best known as the home of the AvtoVAZ automobile plant that produces Lada cars.
  • E. Orenburg
    Orenburg is a major city in southwestern Russia near the Ural River, historically significant as a frontier fortress and administrative center linking European Russia with 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb2da94c8190bc9d23262e3dfc07 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69b650629ef88190a3e360fb9c85dcc7 completed March 15, 2026, 6:23 a.m.
Created at: March 6, 2026, 9:56 p.m.