Triple
T14066655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guy W. Talbot State Park |
E338491
|
entity |
| Predicate | hasPicnicShelter |
P65400
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Guy W. Talbot State Park, hasPicnicShelter, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPicnicShelter Context triple: [Guy W. Talbot State Park, hasPicnicShelter, yes]
-
A.
hasPicnicShelters
chosen
Indicates that one entity provides or contains picnic shelters available for use by another entity or the public.
-
B.
hasPicnicTables
Indicates that an entity provides or contains one or more picnic tables available for use.
-
C.
hasMountainHut
Indicates that one entity possesses, contains, or is associated with a mountain hut located within its area or domain.
-
D.
hasCampingOption
Indicates that an entity offers or includes the possibility to camp (e.g., designated camping facilities or areas).
-
E.
hasCampingStyle
Indicates that an entity is associated with a particular style or manner of camping.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568b81f08190a571004261c0e8e4 |
completed | April 14, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69de05adef888190b023ab42ef5076b6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:21 p.m.