Triple

T14511040
Position Surface form Disambiguated ID Type / Status
Subject Qatargas E340393 entity
Predicate hasJointVenturesWith P102305 FINISHED
Object TotalEnergies E131987 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: TotalEnergies | Statement: [Qatargas, hasJointVenturesWith, TotalEnergies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TotalEnergies
Context triple: [Qatargas, hasJointVenturesWith, TotalEnergies]
  • A. TotalEnergies chosen
    TotalEnergies is a major French multinational energy company engaged in oil, gas, and renewable energy production and distribution worldwide.
  • B. Uniper
    Uniper is a German energy company focused on power generation and global energy trading, formed from the conventional energy business spun off from E.ON.
  • C. Électricité de France
    Électricité de France is France’s state-owned electric utility company and one of the world’s largest producers and distributors of electricity, particularly known for its extensive nuclear power fleet.
  • D. Vinci Energies
    Vinci Energies is a global engineering and services company specializing in energy, electrical, and information and communication technology solutions across infrastructure, industry, and building sectors.
  • E. GDF Suez
    GDF Suez was a major French multinational energy company, primarily active in electricity and natural gas, that later rebranded as Engie.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e5b7b48190878be271840c265b completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da48b2c8190a906965a7ebcb607 completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.