Triple

T15288278
Position Surface form Disambiguated ID Type / Status
Subject Ratonneau E365459 entity
Predicate connectedTo P37 FINISHED
Object Pomègues E365458 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: Pomègues | Statement: [Ratonneau, connectedTo, Pomègues]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pomègues
Context triple: [Ratonneau, connectedTo, Pomègues]
  • A. Pomègues chosen
    Pomègues is one of the main islands of the Frioul archipelago off the coast of Marseille in southern France, known for its rugged coastline and Mediterranean landscapes.
  • B. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • C. Sampués
    Sampués is a municipality in northern Colombia known for its traditional Zenú indigenous culture and artisanal hat weaving.
  • D. Moianès
    Moianès is a comarca (county) in central Catalonia, Spain, known for its rural landscapes, small historic towns, and karstic plateau terrain.
  • E. Parempuyre
    Parempuyre is a commune in southwestern France known for its location near Bordeaux and its role in the Médoc wine-producing 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e5635b4819092a69b5806d15bff completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef7b73a08190b06856c05ea8c80d completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.