Triple

T12705204
Position Surface form Disambiguated ID Type / Status
Subject Stade Bauer E303565 entity
Predicate hasLocalName P6353 FINISHED
Object Stade Bauer E303565 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: Stade Bauer | Statement: [Stade Bauer, hasLocalName, Stade Bauer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stade Bauer
Context triple: [Stade Bauer, hasLocalName, Stade Bauer]
  • A. Stade Bauer chosen
    Stade Bauer is a historic football stadium in Saint-Ouen-sur-Seine, France, best known as the longtime home ground of Red Star FC.
  • B. Stade d’Octodure
    Stade d’Octodure is a sports stadium in Martigny, Switzerland, primarily used for football and athletics events.
  • C. Stade
    Stade is a historic Hanseatic town in northern Germany known for its medieval harbor, brick Gothic architecture, and role as a former trading center on the Elbe River.
  • D. Stade de la Meinau
    Stade de la Meinau is a historic football stadium in Strasbourg, France, best known as the long-time home ground of RC Strasbourg Alsace and a venue for major domestic and international matches.
  • E. Stade Raymond-Kopa
    Stade Raymond-Kopa is a football stadium in Angers, France, named after legendary French forward Raymond Kopa and primarily used for professional matches.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961f1adec8190a53c80e9556b3fe0 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b4832c8190abc17f5f33b3552a completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:23 p.m.