Triple
T5265740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kilt Rock |
E118933
|
entity |
| Predicate | waterfallHeightApprox |
P47584
|
FINISHED |
| Object | 55 metres |
—
|
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: 55 metres | Statement: [Kilt Rock, waterfallHeightApprox, 55 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterfallHeightApprox Context triple: [Kilt Rock, waterfallHeightApprox, 55 metres]
-
A.
waterfallHeight
chosen
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
B.
hasNumberOfWaterfalls
Indicates the quantity of waterfalls associated with a given entity.
-
C.
majorWaterfall
Indicates that a waterfall is of significant size, height, or volume relative to other waterfalls.
-
D.
waterfallDrop
Indicates a vertical or near-vertical descent of water from a higher level to a lower level, as in a waterfall.
-
E.
primaryWaterfall
Indicates that one entity serves as the main or most significant waterfall associated with 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.