Triple

T12798899
Position Surface form Disambiguated ID Type / Status
Subject Slobodan Milošević E305960 entity
Predicate employer P7 FINISHED
Object Technogas E305960 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: Technogas | Statement: [Slobodan Milošević, employer, Technogas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Technogas
Context triple: [Slobodan Milošević, employer, Technogas]
  • A. Technogas chosen
    Technogas was a Yugoslav industrial and trading company where future Serbian and Yugoslav president Slobodan Milošević held an early management position.
  • B. Gazprom Transgaz
    Gazprom Transgaz is a major Russian gas transmission company responsible for operating and maintaining large sections of Gazprom’s natural gas pipeline network.
  • C. Gazpromavia
    Gazpromavia is a Russian airline owned by the energy company Gazprom, operating passenger and cargo flights as well as corporate and charter services, particularly in support of the oil and gas industry.
  • D. Energodar
    Energodar is a Ukrainian city best known for hosting the Zaporizhzhia Nuclear Power Plant, the largest nuclear power station in Europe.
  • E. Rosneftegaz
    Rosneftegaz is a Russian state-owned holding company that historically managed the government’s stakes in major oil and gas enterprises, including what became Rosneft.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6f858c8190915ede38e9a6a2df completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6850f9ae4819094599b48d8d3a074 completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:30 p.m.