Triple

T8720011
Position Surface form Disambiguated ID Type / Status
Subject TER Bretagne E206986 entity
Predicate connectsCity P4245 FINISHED
Object Guingamp E650939 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: Guingamp | Statement: [TER Bretagne, connectsCity, Guingamp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guingamp
Context triple: [TER Bretagne, connectsCity, Guingamp]
  • A. Guingamp chosen
    Guingamp is a historic town in Brittany, northwestern France, known for its medieval architecture and strong Breton cultural identity.
  • B. FC Lorient
    FC Lorient is a French professional football club based in the coastal city of Lorient, best known for competing in France’s top leagues and developing notable talent.
  • C. Gazélec Ajaccio
    Gazélec Ajaccio is a Corsican football club from Ajaccio known for its passionate local support and intense derby rivalry with AC Ajaccio.
  • D. Ouchy-Olympique
    Ouchy-Olympique is a metro station in Lausanne, Switzerland, serving the lakeside Ouchy district and providing access to the nearby Olympic Museum and waterfront area.
  • E. Brive-la-Gaillarde
    Brive-la-Gaillarde is a historic town in the Corrèze department of south-central France, known for its medieval architecture, vibrant market culture, and role as a regional economic center.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d02a52c81909f93622ae6920b80 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28f599a481908e93bc5b5c41296e completed April 3, 2026, 2:41 a.m.
Created at: March 30, 2026, 6:36 p.m.