Triple
T32452287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kooskia, Idaho |
E829322
|
entity |
| Predicate | nearestNationalForestAccess |
P180075
|
FINISHED |
| Object | Nez Perce-Clearwater National Forests trailheads |
—
|
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: Nez Perce-Clearwater National Forests trailheads | Statement: [Kooskia, Idaho, nearestNationalForestAccess, Nez Perce-Clearwater National Forests trailheads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestNationalForestAccess Context triple: [Kooskia, Idaho, nearestNationalForestAccess, Nez Perce-Clearwater National Forests trailheads]
-
A.
nearNationalForest
Indicates that one entity is located close to, but not necessarily inside, a designated national forest area.
-
B.
nearestNationalParkEntrance
Indicates the relationship where a given location is associated with the closest entrance point of a national park.
-
C.
nearestNationalParkHeadquarters
Indicates that one location is the closest national park headquarters to another specified place.
-
D.
withinNationalForest
Indicates that one entity is located inside the geographic boundaries of a national forest.
-
E.
locatedNearNationalPark
Indicates that one place or entity is situated in close proximity to a national park.
- F. None of above. chosen
Provenance (4 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_69f3491df9288190afc0b23b1d6e72ce |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
| PDg | Predicate description generation | batch_69f730890a008190a882f7828f1c9162 |
completed | May 3, 2026, 11:24 a.m. |
Created at: May 1, 2026, 12:56 a.m.