Triple

T15783994
Position Surface form Disambiguated ID Type / Status
Subject Greater Quebec City area E382688 entity
Predicate hasSuburbanMunicipality P119991 FINISHED
Object Donnacona E897803 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: Donnacona | Statement: [Greater Quebec City area, hasSuburbanMunicipality, Donnacona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donnacona
Context triple: [Greater Quebec City area, hasSuburbanMunicipality, Donnacona]
  • A. Donnacona chosen
    Donnacona is a small town in the Capitale-Nationale region of Quebec, Canada, located west of Quebec City along the Saint Lawrence River.
  • B. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • C. Comala
    Comala is a town in the Mexican state of Colima, known for its picturesque colonial architecture and proximity to the active Volcán de Fuego.
  • D. Cirocha
    Cirocha is a river in eastern Slovakia that flows through the Carpathian region before joining the Laborec River.
  • E. Cona
    Cona is a small municipality in the Veneto region of northeastern Italy, situated in the low-lying plains near the Venetian lagoon.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142df48e8819083a48d3b7b3f7f5d completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a4661481909d04bcb9f5043a6b completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.