Triple

T24513015
Position Surface form Disambiguated ID Type / Status
Subject Cartierville E606277 entity
Predicate locatedInAdministrativeEntity P40 FINISHED
Object Borough of Ahuntsic-Cartierville
The Borough of Ahuntsic-Cartierville is a municipal borough of Montreal, Quebec, known for its mix of residential neighborhoods, riverside parks, and diverse cultural communities.
E1727817 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: Borough of Ahuntsic-Cartierville | Statement: [Cartierville, locatedInAdministrativeEntity, Borough of Ahuntsic-Cartierville]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Borough of Ahuntsic-Cartierville
Triple: [Cartierville, locatedInAdministrativeEntity, Borough of Ahuntsic-Cartierville]
Generated description
The Borough of Ahuntsic-Cartierville is a municipal borough of Montreal, Quebec, known for its mix of residential neighborhoods, riverside parks, and diverse cultural communities.

Provenance (5 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_69e2c4c725148190a4e41577c5cb409c completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a84d3da08190bfb7805cea1525d1 completed April 30, 2026, 12:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a11bae82160819093fff05fb2544a27 completed May 23, 2026, 2:34 p.m.
NEDg Description generation batch_6a11be5eaa64819093fca394daf91d90 completed May 23, 2026, 2:49 p.m.
NED2 Entity disambiguation (via description) batch_6a11bf1dd27c8190b77577de860ac016 completed May 23, 2026, 2:52 p.m.
Created at: April 18, 2026, 2:24 a.m.