Triple

T1736075
Position Surface form Disambiguated ID Type / Status
Subject Gare de l'Est E37921 entity
Predicate formerName P65 FINISHED
Object Gare de Strasbourg E67979 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: Gare de Strasbourg | Statement: [Gare de l'Est, formerName, Gare de Strasbourg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gare de Strasbourg
Context triple: [Gare de l'Est, formerName, Gare de Strasbourg]
  • A. Gare de Strasbourg chosen
    Gare de Strasbourg is the main railway station of Strasbourg in northeastern France, serving as a major regional and international rail hub, including high-speed TGV connections.
  • B. Colmar station
    Colmar station is a SEPTA Regional Rail stop in Colmar, Pennsylvania, serving commuters on the Lansdale/Doylestown Line.
  • C. Metz railway station
    Metz railway station is a major historic rail hub in the city of Metz, France, known for its monumental German imperial architecture and role as a key regional and international transport gateway.
  • D. Reims station
    Reims station is the main railway station serving the city of Reims in northeastern France, providing regional and high-speed train connections.
  • E. Mulhouse-Ville station
    Mulhouse-Ville station is the main railway station in Mulhouse, France, serving as a key regional and international rail hub near the Swiss and German borders.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63a369048190bae352573f5082f1 completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaca5f348190a8c1be9948d960e6 completed March 8, 2026, 9:31 p.m.
Created at: March 4, 2026, 7:30 p.m.