Triple
T1754954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waimoku Falls |
E38528
|
entity |
| Predicate | surfaceTypeOfTrail |
P1242
|
FINISHED |
| Object | dirt and boardwalk sections |
—
|
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: dirt and boardwalk sections | Statement: [Waimoku Falls, surfaceTypeOfTrail, dirt and boardwalk sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceTypeOfTrail Context triple: [Waimoku Falls, surfaceTypeOfTrail, dirt and boardwalk sections]
-
A.
surfaceType
chosen
Indicates the kind or classification of surface associated with an entity or interaction.
-
B.
trailName
Indicates the name assigned to a specific trail or path in the relationship.
-
C.
slopeType
Indicates the classification of a slope based on its geometric or physical characteristics, such as steepness, shape, or orientation.
-
D.
hasTrailDifficulty
Indicates the level of challenge or effort required to traverse a particular trail or route.
-
E.
terrainCapability
Indicates the types of terrain or ground conditions in which an entity can effectively operate or function.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba6a63f588190b53b39c6b97d74f4 |
completed | March 7, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_69aa61c7ef4c8190abec87c96a787d82 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.