Triple
T22177508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakes Entrance |
E548085
|
entity |
| Predicate | recreationalFacility |
P6792
|
FINISHED |
| Object | golf course |
—
|
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: golf course | Statement: [Lakes Entrance, recreationalFacility, golf course]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recreationalFacility Context triple: [Lakes Entrance, recreationalFacility, golf course]
-
A.
hasRecreationFacility
chosen
Indicates that one entity provides, contains, or is equipped with a recreational facility for use by another entity or by the public.
-
B.
isOutdoorFacility
Indicates that a facility is located outdoors or primarily functions in an open-air environment.
-
C.
sportsFacility
Indicates that one entity is a sports facility where sports or physical activities can take place for the other entity.
-
D.
recreationLocation
Indicates the place where a recreational activity or leisure pursuit occurs.
-
E.
isRecreationalArea
Indicates that a place or space is designated and used primarily for leisure, relaxation, or recreational activities.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6d03488190b29872ff3f436237 |
completed | April 28, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.