Triple

T3803715
Position Surface form Disambiguated ID Type / Status
Subject Edip Cansever E91751 entity
Predicate notableWork P4 FINISHED
Object Petrol E307436 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: Petrol | Statement: [Edip Cansever, notableWork, Petrol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petrol
Context triple: [Edip Cansever, notableWork, Petrol]
  • A. Gasoline chosen
    Gasoline is a 1958 poetry collection by Beat Generation writer Gregory Corso, known for its energetic, surreal, and rebellious verse.
  • B. Gas
    "Gas" is a 1940 painting by American realist artist Edward Hopper depicting a solitary gas station at dusk, emblematic of his themes of isolation and the quiet tension of modern American life.
  • C. Lefuel
    Lefuel is a French surname most notably associated with Hector Lefuel, a 19th-century architect known for his work on the Louvre in Paris.
  • D. Fuel TV
    Fuel TV was a U.S. cable and satellite television channel focused primarily on extreme sports and later broader sports programming before being rebranded as Fox Sports 2.
  • E. JP-7
    JP-7 is a specialized high-flashpoint jet fuel developed for sustained use in extreme temperatures and speeds, most notably in high-altitude reconnaissance aircraft.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7bc240881909e91b7b99403a13c completed March 9, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb270b008190bbd87cbddacb7204 completed March 14, 2026, 6:07 a.m.
Created at: March 9, 2026, 3:15 p.m.