Triple

T20664909
Position Surface form Disambiguated ID Type / Status
Subject Toulouse Metro Line A E507858 entity
Predicate operator P179 FINISHED
Object Tisséo 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: Tisséo | Statement: [Toulouse Metro Line A, operator, Tisséo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tisséo
Context triple: [Toulouse Metro Line A, operator, Tisséo]
  • A. Tisséo chosen
    Tisséo is the public transportation authority that manages and operates the metro, tram, and bus services in the Toulouse metropolitan area in France.
  • B. Tysso
    Tysso is a river in the municipality of Ulvik in western Norway, known for flowing through a scenic fjord landscape.
  • C. Lusser
    Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
  • D. Tortelier
    Tortelier is a French surname most prominently associated with the renowned 20th-century cellist and conductor Paul Tortelier.
  • E. Delapore
    Delapore is the ill-fated narrator of H. P. Lovecraft’s horror story "The Rats in the Walls," whose investigation of his ancestral estate uncovers a monstrous family secret that drives him to madness.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c2c6d48190bbfe505cf7d973f9 completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.