Triple
T7529885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Overlook Trail to McWay Falls |
E177990
|
entity |
| Predicate | trailLengthCategory |
P77352
|
FINISHED |
| Object | short trail |
—
|
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: short trail | Statement: [Overlook Trail to McWay Falls, trailLengthCategory, short trail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trailLengthCategory Context triple: [Overlook Trail to McWay Falls, trailLengthCategory, short trail]
-
A.
trailLengthApprox
Indicates an approximate measurement of the total length of a trail.
-
B.
trackLengthApproxKm
Indicates that one entity has an approximate track length, measured in kilometers, associated with it.
-
C.
trailDistanceApprox
Indicates that the distance along a trail between two locations is approximately a specified value, allowing for some margin of error.
-
D.
tourLength
Indicates the total duration or distance covered by a tour or route.
-
E.
trailName
Indicates the name assigned to a specific trail or path in the relationship.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81fbd4c8190b8ffedf1dbbb43aa |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d6bb808190bdd04499fd3bceb6 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f555455c81908850210bcad96ac2 |
completed | March 27, 2026, 9:23 p.m. |
Created at: March 27, 2026, 3:47 p.m.