Triple

T15670505
Position Surface form Disambiguated ID Type / Status
Subject Bay of Saint-Brieuc area E377296 entity
Predicate hasPart P35 FINISHED
Object Planguenoual E1170118 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: Planguenoual | Statement: [Bay of Saint-Brieuc area, hasPart, Planguenoual]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Planguenoual
Context triple: [Bay of Saint-Brieuc area, hasPart, Planguenoual]
  • A. Planguenoual chosen
    Planguenoual is a coastal commune in the Côtes-d'Armor department of Brittany in northwestern France.
  • B. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • C. Villandraut
    Villandraut is a small commune in southwestern France best known as the birthplace of Pope Clement V.
  • D. Aiguebelle
    Aiguebelle is a small French town in the Savoie department of the Auvergne-Rhône-Alpes region, situated in the Alps near the Maurienne Valley.
  • E. Abriès
    Abriès is a small alpine commune in southeastern France, known for its scenic location in the Queyras valley near the Italian border and its outdoor mountain activities.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f1254508190a77a16b7bfd299ad completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff87611d488190857c99e166ac9e8f completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:16 a.m.