Triple
T28079258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lambton Golf and Country Club vicinity |
E709631
|
entity |
| Predicate | withinMunicipalDistrict |
P21214
|
FINISHED |
| Object | York |
—
|
NE NERFINISHED |
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: York | Statement: [Lambton Golf and Country Club vicinity, withinMunicipalDistrict, York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: withinMunicipalDistrict Context triple: [Lambton Golf and Country Club vicinity, withinMunicipalDistrict, York]
-
A.
isInMunicipality
chosen
Indicates that one entity (typically a place or address) is located within the administrative boundaries of a specific municipality.
-
B.
containsDistrictMunicipality
Indicates that an administrative region includes one or more district municipalities within its boundaries.
-
C.
isInnerDistrictOf
Indicates that one district is geographically or administratively located within and subordinate to another, larger district.
-
D.
hasMunicipalDistrict
Indicates that an administrative entity includes or is divided into one or more municipal districts as its subordinate units.
-
E.
occursInDistrict
Indicates that an event or activity takes place within the boundaries of a specific district.
- 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_69ef9b7037f0819095bb90eaccbcaf32 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f64dbbaefc8190952b8320bf4397d8 |
completed | May 2, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 8:50 p.m.