Triple

T17840329
Position Surface form Disambiguated ID Type / Status
Subject TGV E445505 entity
Predicate route P5619 FINISHED
Object Lyon–Marseille 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: Lyon–Marseille | Statement: [TGV, route, Lyon–Marseille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyon–Marseille
Context triple: [TGV, route, Lyon–Marseille]
  • A. Paris–Montpellier
    Paris–Montpellier is a major high-speed rail corridor in France linking the capital with the Mediterranean city of Montpellier.
  • B. Lyon–Marseille axis chosen
    The Lyon–Marseille axis is a major French railway corridor linking the cities of Lyon and Marseille and serving as a key north–south route in southeastern France.
  • C. Bordeaux-Talence
    Bordeaux-Talence is a campus location of the French engineering grande école Arts et Métiers, situated in the Bordeaux metropolitan area.
  • D. Derby de la Côte d’Azur
    The Derby de la Côte d’Azur is a French Riviera football rivalry match, most notably contested between AS Monaco FC and OGC Nice.
  • E. Toulon
    Toulon is a major port city on France’s Mediterranean coast that serves as the principal base of the French Navy.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d2b2ea08190926ec0cf01285833 completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:16 a.m.