Triple

T16125708
Position Surface form Disambiguated ID Type / Status
Subject Épinal E391263 entity
Predicate hasSportsTeam P330 FINISHED
Object SAS Épinal E812430 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: SAS Épinal | Statement: [Épinal, hasSportsTeam, SAS Épinal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAS Épinal
Context triple: [Épinal, hasSportsTeam, SAS Épinal]
  • A. SAS Épinal chosen
    SAS Épinal is a French football club based in the town of Épinal, known for competing in the lower professional and semi-professional tiers of the national league system.
  • B. Amiens SC
    Amiens SC is a French professional football club based in the city of Amiens, known for competing in the country’s football league system and representing the Picardy region.
  • C. Élan Chalon
    Élan Chalon is a professional French basketball club best known for competing in the country’s top leagues and European competitions.
  • D. Montpellier HSC
    Montpellier HSC is a French professional football club based in Montpellier that competes in Ligue 1 and has a history of developing notable players such as Eric Cantona.
  • E. TER Lyon–Grenoble
    TER Lyon–Grenoble is a regional train service in France that connects the cities of Lyon and Grenoble as part of the TER Auvergne-Rhône-Alpes network.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20204fb408190b58d49d0d64bb740 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2abf9b08190a375abc842a0e7d0 completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5 a.m.