Triple
T1971181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ʻOheʻo Gulch |
E42801
|
entity |
| Predicate | hasTrailheadNearby |
P11755
|
FINISHED |
| Object | Kīpahulu trails |
—
|
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: Kīpahulu trails | Statement: [ʻOheʻo Gulch, hasTrailheadNearby, Kīpahulu trails]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrailheadNearby Context triple: [ʻOheʻo Gulch, hasTrailheadNearby, Kīpahulu trails]
-
A.
hasNearbyTrailheadFor
chosen
Indicates that one location has a trailhead situated close enough to serve as a convenient access point for another location.
-
B.
hasNearbyTrail
Indicates that one entity is located close to or within a short distance of a trail.
-
C.
hasTrail
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
-
D.
hasAttractionNearby
Indicates that one entity is located close to another entity that serves as an attraction or point of interest.
-
E.
hasNearbyBase
Indicates that one entity has a base or facility located in close physical proximity to another entity or location.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3d2836c8190a35cb6d8e2dd4bdf |
completed | March 7, 2026, 5:12 a.m. |
| PD | Predicate disambiguation | batch_69abaff7d4a48190ab0d51aefb1c4e31 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.