Triple
T24387847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montague, Ontario |
E614798
|
entity |
| Predicate | hasRuralMunicipalStatus |
P129111
|
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: [Montague, Ontario, hasRuralMunicipalStatus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRuralMunicipalStatus Context triple: [Montague, Ontario, hasRuralMunicipalStatus, true]
-
A.
hasRuralMunicipalityStatus
chosen
Indicates that an administrative entity holds the official legal status of a rural municipality.
-
B.
hasRuralCouncilStatus
Indicates that an entity holds the official designation or legal status of a rural council within a given administrative or governance system.
-
C.
isMunicipalStatus
Indicates that an entity possesses a specific legally defined municipal status or classification within a governmental or administrative system.
-
D.
isRuralMunicipalityOf
Indicates that one entity is a rural municipality that is administratively or geographically part of, or governed by, another entity.
-
E.
isRuralConstituency
Indicates that a given constituency is classified as rural rather than urban or suburban.
- 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_69e2d7e362e481909e32fe4ef8269d4f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29455e7fc8190841f909b970f6bd3 |
completed | April 29, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:03 a.m.