Triple

T16352701
Position Surface form Disambiguated ID Type / Status
Subject CIFFCO E397097 entity
Predicate headquartersLocation P62 FINISHED
Object Coquelles E401607 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: Coquelles | Statement: [CIFFCO, headquartersLocation, Coquelles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coquelles
Context triple: [CIFFCO, headquartersLocation, Coquelles]
  • A. Coquelles chosen
    Coquelles is a commune in northern France near Calais, best known as the French terminal area for the Channel Tunnel and its Le Shuttle rail services.
  • B. Baruchel
    Baruchel is the surname of Canadian actor, comedian, and filmmaker Jay Baruchel, known for roles in films like "How to Train Your Dragon" and "This Is the End."
  • C. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • D. Ecaussinnes
    Ecaussinnes is a municipality in the province of Hainaut in Wallonia, Belgium, known for its historic castles and annual folklore festivals.
  • E. Couvin
    Couvin is a municipality in southern Belgium known for its extensive forests, caves, and rural landscapes within the Walloon region.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2faccab748190b11e0808e422f2ea completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c4e6d548190b895a76a4a7268dd completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:07 a.m.