Triple
T20926741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaSalle borough |
E515364
|
entity |
| Predicate | hasMunicipalStatusWithinMontreal |
P37705
|
FINISHED |
| Object | borough |
—
|
LITERAL 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 | Statement: [LaSalle borough, hasMunicipalStatusWithinMontreal, borough]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalStatusWithinMontreal Context triple: [LaSalle borough, hasMunicipalStatusWithinMontreal, borough]
-
A.
isMunicipalStatus
chosen
Indicates that an entity possesses a specific legally defined municipal status or classification within a governmental or administrative system.
-
B.
isSubjectToMetropolitan
Indicates that an entity falls under the authority, jurisdiction, or governance of a metropolitan area or metropolitan-level body.
-
C.
isInMunicipality
Indicates that one entity (typically a place or address) is located within the administrative boundaries of a specific municipality.
-
D.
isMunicipal
Indicates that something belongs to, is administered by, or is characteristic of a municipality or local city government.
-
E.
isMunicipalHomeOf
Indicates that a municipality serves as the official home base or hosting location for a particular entity or organization.
- F. None of above.
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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f65200b08190ac208204a20f5a6a |
completed | April 21, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:49 p.m.