Triple
T35767490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fir Mountain |
E1034056
|
entity |
| Predicate | isInNationalForestOrPark |
P107845
|
FINISHED |
| Object | Catskill Park |
—
|
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: Catskill Park | Statement: [Fir Mountain, isInNationalForestOrPark, Catskill Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInNationalForestOrPark Context triple: [Fir Mountain, isInNationalForestOrPark, Catskill Park]
-
A.
withinNationalForest
Indicates that one entity is located inside the geographic boundaries of a national forest.
-
B.
locatedInNationalParkOrQuasiNationalPark
Indicates that something is situated within the boundaries of a national park or a quasi-national park.
-
C.
withinNationalPark
Indicates that one entity is located inside the geographic boundaries of a national park designated by another entity.
-
D.
hasNationalForest
Indicates that a place or jurisdiction contains, includes, or is home to at least one designated national forest.
-
E.
locatedInNationalOrProvincialPark
chosen
Indicates that one entity is situated within the boundaries of a national or provincial park.
- 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_69f76e13edd081909101629aa829c4ad |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a1c8ddc881909696006612f2a8c4 |
completed | May 3, 2026, 7:28 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.