Triple
T5655658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mānoa Falls Trail |
E124611
|
entity |
| Predicate | endpointFeature |
P65585
|
FINISHED |
| Object | scenic waterfall view |
—
|
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: scenic waterfall view | Statement: [Mānoa Falls Trail, endpointFeature, scenic waterfall view]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endpointFeature Context triple: [Mānoa Falls Trail, endpointFeature, scenic waterfall view]
-
A.
featuresService
Indicates that one entity provides, includes, or offers a particular service as a notable characteristic or component.
-
B.
featuresSupporter
Indicates that one entity serves as a supporter, advocate, or promoter of another entity or its cause.
-
C.
connectivityFeatures
Indicates the types of network or communication options that are available or supported for connecting to or through an entity.
-
D.
featuresOrchestrationBy
Indicates that something (such as a work, event, or performance) is characterized by or includes orchestration carried out by a particular agent or entity.
-
E.
supportsFeature
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
- 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_69c0082774a481909d7e63fb2aad56ac |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c0236d3f94819095111c41a323612d |
completed | March 22, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_69c021ba4ec481909db8cdbf0e907dd6 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c0236af5308190b3d698eadf7bcd2b |
completed | March 22, 2026, 5:14 p.m. |
Created at: March 22, 2026, 3:42 p.m.