Triple
T23975929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falling Waters Trail |
E604366
|
entity |
| Predicate | waterfallAlong |
P154101
|
FINISHED |
| Object | Stairs 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: Stairs Falls | Statement: [Falling Waters Trail, waterfallAlong, Stairs Falls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterfallAlong Context triple: [Falling Waters Trail, waterfallAlong, Stairs Falls]
-
A.
waterfallName
Indicates that an entity is identified by or associated with the specific name of a waterfall.
-
B.
waterfallLocation
Indicates the spatial location or geographic area where a waterfall is situated.
-
C.
waterfallDrop
Indicates a vertical or near-vertical descent of water from a higher level to a lower level, as in a waterfall.
-
D.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
E.
overWater
Indicates that one entity is located above or passes across a body of water, without being in direct contact with the water itself.
- 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_69e29543f40c819087700b7a272afb60 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d2ba11708190b8587bd006249ff5 |
completed | April 29, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 9:26 p.m.