Triple
T29603322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trail of Ten Falls |
E754508
|
entity |
| Predicate | passesWaterfall |
P154101
|
FINISHED |
| Object | South Falls |
—
|
NE NERFINISHED |
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: South Falls | Statement: [Trail of Ten Falls, passesWaterfall, South Falls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passesWaterfall Context triple: [Trail of Ten Falls, passesWaterfall, South Falls]
-
A.
hasWaterfall
Indicates that one entity possesses, contains, or features a waterfall associated with it.
-
B.
waterfallAlong
chosen
Indicates that a waterfall is located along the course, path, or extent of another geographic feature such as a river, trail, or boundary.
-
C.
waterfallDrop
Indicates a vertical or near-vertical descent of water from a higher level to a lower level, as in a waterfall.
-
D.
waterfallName
Indicates that an entity is identified by or associated with the specific name of a waterfall.
-
E.
typeOfWaterfall
Indicates that one entity is a specific kind or category of waterfall in relation to another entity.
- 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_69f0ef84e5d08190a0df17f5930ceed3 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 28, 2026, 6:23 p.m.