Triple
T12589711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Wright Golf Course |
E300569
|
entity |
| Predicate | isMunicipallyOwned |
P69002
|
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: [George Wright Golf Course, isMunicipallyOwned, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMunicipallyOwned Context triple: [George Wright Golf Course, isMunicipallyOwned, true]
-
A.
municipalOwnership
chosen
Indicates that an entity is owned, controlled, or held as property by a municipal (city or local) government.
-
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.
isMunicipalSectorOf
Indicates that one entity is a municipal-level subdivision, department, or sector that forms part of the organizational structure of another entity (typically a municipality or local government).
-
E.
hasMunicipalGovernment
Indicates that an entity is administered or governed by a municipal-level governmental authority.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95416cbd88190b2c65196162349bc |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:06 p.m.