Triple

T15778576
Position Surface form Disambiguated ID Type / Status
Subject A30 motorway E382550 entity
Predicate servesCity P82 FINISHED
Object Fontoy E825002 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: Fontoy | Statement: [A30 motorway, servesCity, Fontoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fontoy
Context triple: [A30 motorway, servesCity, Fontoy]
  • A. Fontoy chosen
    Fontoy is a small commune in northeastern France’s Grand Est region, situated within the Moselle department.
  • B. Foynes
    Foynes is a village and port in County Limerick, Ireland, historically known as a key transatlantic seaplane base and as the birthplace of Irish coffee.
  • C. Fontenoille
    Fontenoille is a village in the municipality of Florenville in the Walloon region of southern Belgium.
  • D. Fontenais
    Fontenais is a municipality in the canton of Jura in northwestern Switzerland, situated in the Ajoie region near the town of Porrentruy.
  • E. Foix
    Foix is a historic town in southwestern France known for its medieval castle and role as the former capital of the County of Foix.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e053fea90081908e3fe4f91475bead completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff909d7b7c81908b62faa2ab378fad completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:47 a.m.