Triple

T3766107
Position Surface form Disambiguated ID Type / Status
Subject 1998 FIFA World Cup E82680 entity
Predicate hostCity P1798 FINISHED
Object Saint-Étienne E43079 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: Saint-Étienne | Statement: [1998 FIFA World Cup, hostCity, Saint-Étienne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint-Étienne
Context triple: [1998 FIFA World Cup, hostCity, Saint-Étienne]
  • A. Saint-Étienne chosen
    Saint-Étienne is an industrial city in central France known for its historic manufacturing heritage, football culture, and role as one of the host cities for major international sporting events.
  • B. Clermont-Ferrand
    Clermont-Ferrand is a central French city known for its historic cathedral built of black volcanic stone and as the longtime headquarters of the tire company Michelin.
  • C. Rodez
    Rodez is a historic cathedral city in southern France that serves as the capital of the Aveyron department in the Occitanie region.
  • D. Lyon
    Lyon is a major city in east-central France known for its historical and architectural landmarks, gastronomy, and role as a key economic and cultural center.
  • E. Nantes
    Nantes is a historic port city in western France on the Loire River, known for its maritime heritage, cultural institutions, and vibrant arts scene.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbfeb52081909c38103beb5dbdcd completed March 8, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be395356e88190ba6c4b228669e40c completed March 21, 2026, 6:23 a.m.
Created at: March 8, 2026, 3:35 p.m.