Triple

T16720682
Position Surface form Disambiguated ID Type / Status
Subject Mingachevir Hydroelectric Power Station E406338 entity
Predicate operator P179 FINISHED
Object Azerenerji E1230035 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: Azerenerji | Statement: [Mingachevir Hydroelectric Power Station, operator, Azerenerji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azerenerji
Context triple: [Mingachevir Hydroelectric Power Station, operator, Azerenerji]
  • A. Azerenerji chosen
    Azerenerji is the state-owned electric power company of Azerbaijan, responsible for most of the country’s electricity generation and transmission infrastructure.
  • B. Tepe Enerji
    Tepe Enerji is an energy company operating under Turkey’s Tepe Group, involved in power generation and related energy services.
  • C. Ministry of Energy of Azerbaijan
    The Ministry of Energy of Azerbaijan is the central government body responsible for shaping and implementing the country’s energy policy, including the management and development of its oil, gas, and power sectors.
  • D. Energodar
    Energodar is a Ukrainian city best known for hosting the Zaporizhzhia Nuclear Power Plant, the largest nuclear power station in Europe.
  • E. Energetica
    Energetica is an interactive exhibition at Amsterdam’s NEMO Science Museum that explores the principles and applications of sustainable energy and natural forces.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3874270748190ad7c3b3531293b60 completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a518019881909a7c5ef344966579 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:20 a.m.