Triple
T35063828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crozet Park |
E1011671
|
entity |
| Predicate | isCentralRecreationAreaFor |
P183163
|
FINISHED |
| Object | Crozet, Virginia |
E308313
|
NE 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: Crozet, Virginia | Statement: [Crozet Park, isCentralRecreationAreaFor, Crozet, Virginia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCentralRecreationAreaFor Context triple: [Crozet Park, isCentralRecreationAreaFor, Crozet, Virginia]
-
A.
isRecreationalArea
Indicates that a place or space is designated and used primarily for leisure, relaxation, or recreational activities.
-
B.
hasRecreationAreaName
Indicates that a recreation area is associated with a specific name or designation.
-
C.
hasRecreationalArea
Indicates that an entity includes, provides, or is associated with a designated space intended for leisure or recreational activities.
-
D.
isRecreationalResourceFor
Indicates that something serves as a facility, area, or service used by someone for leisure, recreation, or enjoyment.
-
E.
countyParkOrArea
Indicates that a location is designated as a county-level park or recreational area under the jurisdiction of a county authority.
- F. None of above. chosen
Provenance (5 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_69f76dd09c308190a523454853ce842b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f798387ea481909f51303f53a22e52 |
completed | May 3, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37cfe37a808190ae7843090f30430d |
completed | June 21, 2026, 11:49 a.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79798663481908d6bc48dd6a94ca6 |
completed | May 3, 2026, 6:44 p.m. |
Created at: May 3, 2026, 4:01 p.m.