Triple

T9915020
Position Surface form Disambiguated ID Type / Status
Subject CA Plaine Vallée E185846 entity
Predicate hasMemberMunicipality P47323 FINISHED
Object Andilly E278023 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: Andilly | Statement: [CA Plaine Vallée, hasMemberMunicipality, Andilly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andilly
Context triple: [CA Plaine Vallée, hasMemberMunicipality, Andilly]
  • A. Andilly chosen
    Andilly is a small commune in the Val-d'Oise department in the northern suburbs of Paris, France.
  • B. Verrières
    Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
  • C. Potigny
    Potigny is a commune in the Calvados department of the Normandy region in northwestern France.
  • D. Pontarlier
    Pontarlier is a historic town in eastern France near the Swiss border, known for its role in the absinthe industry and its location in the Jura Mountains.
  • E. Viry-Châtillon
    Viry-Châtillon is a suburban commune in the southern outskirts of Paris, France, known for its residential character and location along the Seine River in the Essonne department.
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb53d5be48190ab47e152760d5e2c completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cb6276ec8190ad8623129f804c91 completed April 5, 2026, 8:51 p.m.
Created at: March 30, 2026, 8:41 p.m.