Triple
T463582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridalveil Fall |
E7394
|
entity |
| Predicate | hasTrailLength |
P14300
|
FINISHED |
| Object | approximately 0.5 miles round trip |
—
|
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: approximately 0.5 miles round trip | Statement: [Bridalveil Fall, hasTrailLength, approximately 0.5 miles round trip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrailLength Context triple: [Bridalveil Fall, hasTrailLength, approximately 0.5 miles round trip]
-
A.
hasTrail
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
-
B.
hasTrailType
Indicates that an entity (such as a trail or route) is associated with a specific type or category of trail.
-
C.
hasTrailDistanceToTop
Indicates the length of the trail or path required to reach the top from a given starting point.
-
D.
hasNearbyTrail
Indicates that one entity is located close to or within a short distance of a trail.
-
E.
hasTail
Indicates that an entity possesses a tail as a physical attribute.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efc214788190a8dff20fec4412e0 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2ede8eac081908dffade6a5e7950b |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2ef06d2fc8190b379d575215a8518 |
completed | Feb. 28, 2026, 1:35 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.