Triple

T22368468
Position Surface form Disambiguated ID Type / Status
Subject Prince County E552973 entity
Predicate hasVillage P4011 FINISHED
Object Miscouche NE NERFINISHED

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: Miscouche | Statement: [Prince County, hasVillage, Miscouche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miscouche
Context triple: [Prince County, hasVillage, Miscouche]
  • A. Miscouche chosen
    Miscouche is a small Acadian-influenced community and village located in western Prince Edward Island, Canada.
  • B. Goscote
    Goscote is a residential area and former industrial district within the town of Walsall in the West Midlands, England.
  • C. Chanteheux
    Chanteheux is a commune in the Meurthe-et-Moselle department in northeastern France.
  • D. Bouvante
    Bouvante is a small rural commune in southeastern France, located in the Drôme department within the Auvergne-Rhône-Alpes region.
  • E. Monchyssoise
    Monchyssoise is the French demonym for a female inhabitant of the commune of Monchy-Saint-Éloi in northern France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4affcc8190ba7c27d29062558d completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1580229688190a6e5e02b484033f7 completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.