Triple

T9488534
Position Surface form Disambiguated ID Type / Status
Subject Valence TGV area E228822 entity
Predicate serves P98 FINISHED
Object TGV network E801087 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: TGV network | Statement: [Valence TGV area, serves, TGV network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TGV network
Context triple: [Valence TGV area, serves, TGV network]
  • A. TGV network chosen
    The TGV network is France’s high-speed rail system, linking major cities and neighboring countries with fast, long-distance train services.
  • B. TGV Réseau
    TGV Réseau is a later-generation French high-speed trainset used by SNCF, designed for improved performance and comfort on the expanding TGV network.
  • C. Paris–Bordeaux high-speed rail corridor
    The Paris–Bordeaux high-speed rail corridor is a major French TGV route that links the capital to southwestern France, significantly reducing travel times and enhancing national and international rail connectivity.
  • D. TGV high-speed rail
    TGV high-speed rail is France’s flagship high-speed train service that connects major cities and hubs, including direct links from Charles de Gaulle Airport to destinations across the country and into neighboring nations.
  • E. TGV
    TGV is France’s high-speed intercity train service, renowned for rapid connections between major cities such as Paris and Lille.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c5a05c8190b97d34f010e60ca1 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139fdaccc8190b5c160aedcfcceca completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:55 p.m.