Triple

T11697094
Position Surface form Disambiguated ID Type / Status
Subject Andilly E278023 entity
Predicate hasNeighbouringCommune P33892 FINISHED
Object Montmorency E214248 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: Montmorency | Statement: [Andilly, hasNeighbouringCommune, Montmorency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montmorency
Context triple: [Andilly, hasNeighbouringCommune, Montmorency]
  • A. Montmorency chosen
    Montmorency is a commune in the northern suburbs of Paris, France, known for its historic town center and surrounding Val-d'Oise area.
  • B. Montmorency
    Montmorency is a Montreal Metro station in Laval that serves as the eastern terminus of the Orange Line and a key transit hub for the area.
  • C. Val-des-Monts
    Val-des-Monts is a rural municipality in western Quebec, Canada, known for its numerous lakes, cottages, and outdoor recreational activities.
  • D. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • E. Vallières
    Vallières is a commune in the Nord-Est department of Haiti, known as a small rural settlement within the country’s northern 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47cef60819088b7cc3a3a711e4c completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f417302ffc81908d222c4e01fa3e95 completed May 1, 2026, 3 a.m.
Created at: April 8, 2026, 9:40 p.m.