Triple
T22011778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohiopyle, Pennsylvania |
E543592
|
entity |
| Predicate | riverSectionDifficulty |
P73199
|
FINISHED |
| Object | whitewater rapids including Class III and Class IV sections |
—
|
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: whitewater rapids including Class III and Class IV sections | Statement: [Ohiopyle, Pennsylvania, riverSectionDifficulty, whitewater rapids including Class III and Class IV sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riverSectionDifficulty Context triple: [Ohiopyle, Pennsylvania, riverSectionDifficulty, whitewater rapids including Class III and Class IV sections]
-
A.
hasRaftingDifficulty
chosen
Indicates that an entity is associated with a specific level of rafting difficulty.
-
B.
hasTrailDifficulty
Indicates the level of challenge or effort required to traverse a particular trail or route.
-
C.
watercourseSectionOf
Indicates that a watercourse segment forms a constituent part of a larger watercourse.
-
D.
raisesWaterway
Indicates that one entity elevates or increases the level, height, or flow of a waterway relative to another entity or state.
-
E.
riverPhenomenon
Indicates a natural event, condition, or process that occurs in or directly affects a river.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a520bc8190865f525a87255fb2 |
completed | April 28, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:22 p.m.