Triple

T12397999
Position Surface form Disambiguated ID Type / Status
Subject CS Meaux E296169 entity
Predicate hasAbbreviation P43 FINISHED
Object CS Meaux E296169 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: CS Meaux | Statement: [CS Meaux, hasAbbreviation, CS Meaux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CS Meaux
Context triple: [CS Meaux, hasAbbreviation, CS Meaux]
  • A. CS Meaux chosen
    CS Meaux is a French football club that has featured players such as Joël Cantona during its history in 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. CA Val Parisis
    CA Val Parisis is an intercommunal structure in the Île-de-France region that groups together several municipalities to coordinate local services and development policies.
  • D. Bron Terraillon SC
    Bron Terraillon SC is a French youth football club known for being one of the early teams in the development of striker Karim Benzema.
  • E. Valenciennes FC
    Valenciennes FC is a French professional football club based in the city of Valenciennes that has spent much of its history competing in the country’s top two divisions.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd448f08190af425a569d7ed158 completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63480a8bc8190885130f63a3ec761 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.