Triple
T2531563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latourell Falls |
E56169
|
entity |
| Predicate | hasPicnicArea |
P5383
|
FINISHED |
| Object | Guy W. Talbot State Park picnic facilities |
—
|
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: Guy W. Talbot State Park picnic facilities | Statement: [Latourell Falls, hasPicnicArea, Guy W. Talbot State Park picnic facilities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPicnicArea Context triple: [Latourell Falls, hasPicnicArea, Guy W. Talbot State Park picnic facilities]
-
A.
hasRecreationalArea
chosen
Indicates that an entity includes, provides, or is associated with a designated space intended for leisure or recreational activities.
-
B.
hasStandingArea
Indicates that an entity includes or provides a designated area where people can stand.
-
C.
hasParkArea
Indicates that an entity includes or is associated with a designated park or recreational area within its boundaries.
-
D.
parkAreaType
Indicates the classification of a park’s area according to its designated type or functional category.
-
E.
hasPedestrianArea
Indicates that a location or zone includes a designated area intended for pedestrian use only or primarily.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2781700819091ffc32244d9efe2 |
completed | March 7, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69abd0c2e34c8190a914d5c2afba147c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:47 p.m.