Triple
T20897277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grande Prairie Transit |
E514571
|
entity |
| Predicate | isMunicipalService |
P6352
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Grande Prairie Transit, isMunicipalService, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMunicipalService Context triple: [Grande Prairie Transit, isMunicipalService, true]
-
A.
hasMunicipalService
chosen
Indicates that a municipality provides or is responsible for a specific public service to a given area, facility, or population.
-
B.
isMunicipal
Indicates that something belongs to, is administered by, or is characteristic of a municipality or local city government.
-
C.
isMunicipalStatus
Indicates that an entity possesses a specific legally defined municipal status or classification within a governmental or administrative system.
-
D.
isMunicipalAgency
Indicates that an entity functions as an agency or department of a municipal (city or local) government.
-
E.
hasMunicipalServiceProvider
Indicates that a municipality is served by a specific organization or entity that provides municipal services (such as utilities, waste management, or public transport).
- 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d062f26c81908d99d6a9d3b99604 |
completed | April 21, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:47 p.m.