Triple
T30955568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lions Park, Cheyenne |
E788666
|
entity |
| Predicate | isRecreationalHubFor |
P134680
|
FINISHED |
| Object | Cheyenne, Wyoming |
—
|
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: Cheyenne, Wyoming | Statement: [Lions Park, Cheyenne, isRecreationalHubFor, Cheyenne, Wyoming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRecreationalHubFor Context triple: [Lions Park, Cheyenne, isRecreationalHubFor, Cheyenne, Wyoming]
-
A.
recreationActivitiesSupported
Indicates that an entity provides, allows, or is compatible with certain recreational activities.
-
B.
hasRecreationalOrganization
Indicates that an entity is associated with, or hosts, a recreational organization such as a club, team, or leisure group.
-
C.
isRecreationalFacility
Indicates that the subject entity functions as a place or installation intended for leisure, sports, or other recreational activities.
-
D.
hasRecreationHub
chosen
Indicates that an entity serves as or is associated with a central place or facility for recreational activities for another entity.
-
E.
isRecreationalResourceFor
Indicates that something serves as a facility, area, or service used by someone for leisure, recreation, or enjoyment.
- 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_69f224c28c1881908c33b45d689f1724 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:54 p.m.