Triple

T22460423
Position Surface form Disambiguated ID Type / Status
Subject TotalEnergies SE E555213 entity
Predicate stockTicker P1447 FINISHED
Object TTEF NE NERFINISHED

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: TTEF | Statement: [TotalEnergies SE, stockTicker, TTEF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TTEF
Context triple: [TotalEnergies SE, stockTicker, TTEF]
  • A. TTEF chosen
    TTEF is the stock ticker symbol for TotalEnergies SE, a major French multinational energy company operating in oil, gas, and renewables.
  • B. TTE
    TTE is the stock ticker symbol for TotalEnergies SE, a major French multinational energy company involved in oil, gas, and renewable energy.
  • C. TEFRA
    TEFRA is a major 1982 U.S. federal law that increased taxes and implemented budgetary and Medicare reforms to reduce the national deficit.
  • D. TEC
    TEC is the abbreviation for the Transatlantic Economic Council, a high-level forum for coordinating economic policy and regulatory cooperation between the United States and the European Union.
  • E. TEC
    TEC is a public transport company in Belgium that operates regional bus and other transit services, primarily in the Walloon region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b7eb5688190bd5e41d4d8189668 completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.