Triple

T3997892
Position Surface form Disambiguated ID Type / Status
Subject LGV Nord E87141 entity
Predicate usedBy P260 FINISHED
Object TGV Nord-Europe services E413016 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 Nord-Europe services | Statement: [LGV Nord, usedBy, TGV Nord-Europe services]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TGV Nord-Europe services
Context triple: [LGV Nord, usedBy, TGV Nord-Europe services]
  • A. TGV Atlantique services
    TGV Atlantique services are high-speed French train operations running primarily between Paris and western or southwestern France using TGV Atlantique trainsets.
  • B. TGV services chosen
    TGV services are France’s high-speed train operations, providing fast intercity and international rail connections across the country and beyond.
  • C. TGV Lyria
    TGV Lyria is a high-speed train service linking France and Switzerland, operated as a joint venture between SNCF and Swiss Federal Railways.
  • D. Paris–Stuttgart high-speed service
    The Paris–Stuttgart high-speed service is an international high-speed rail connection linking the French capital with the German city of Stuttgart as part of the cross-border TGV/ICE network.
  • E. Intercités
    Intercités is a network of French long-distance conventional trains operated by SNCF, connecting major cities and regions across the country.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa3ef7ac8190abe02f440ff83c43 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5768c29f08190baa35f395ebee6bb completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:34 p.m.