Triple
T29869677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Beach |
E758555
|
entity |
| Predicate | trailApproxLength |
P18078
|
FINISHED |
| Object | 0.7 miles one way |
—
|
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: 0.7 miles one way | Statement: [Second Beach, trailApproxLength, 0.7 miles one way]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trailApproxLength Context triple: [Second Beach, trailApproxLength, 0.7 miles one way]
-
A.
trailLengthApprox
chosen
Indicates an approximate measurement of the total length of a trail.
-
B.
trailDistanceApprox
Indicates that the distance along a trail between two locations is approximately a specified value, allowing for some margin of error.
-
C.
approximateRouteLength
Indicates the estimated total distance or length of a given route, rather than its exact measured value.
-
D.
trailDistanceContext
Indicates the contextual distance or separation between entities along a trail, path, or route.
-
E.
trailLengthCategory
Indicates the classification of a trail based on its total length (e.g., short, medium, long).
- 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_69f2245d0d7081909e37ee328542bcd7 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 5:53 p.m.