Triple
T23631505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalalau Beach |
E583620
|
entity |
| Predicate | partOfTrailEnd |
P28905
|
FINISHED |
| Object | terminus of the Kalalau 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: terminus of the Kalalau Trail | Statement: [Kalalau Beach, partOfTrailEnd, terminus of the Kalalau Trail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfTrailEnd Context triple: [Kalalau Beach, partOfTrailEnd, terminus of the Kalalau Trail]
-
A.
longDistanceTrailEnd
chosen
Indicates that a location serves as the endpoint or terminus of a long-distance trail.
-
B.
isPartOfTrailSystem
Indicates that something belongs to, or is included within, a larger trail network or trail system.
-
C.
reachedFromTrailhead
Indicates that a location or point can be accessed by traveling from a designated trailhead.
-
D.
reachableFromTrailhead
Indicates that a location or segment can be accessed by traveling from a designated trailhead.
-
E.
trailName
Indicates the name assigned to a specific trail or path in the relationship.
- 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_69e248fe1c2c8190ac914d2442ff3d26 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b1e7db1c8190aa11ce84fb84d7ef |
completed | April 29, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:47 p.m.