Triple
T17797220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuldīga |
E444323
|
entity |
| Predicate | waterfallWidthApproximate |
P128952
|
FINISHED |
| Object | about 240–270 meters |
—
|
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: about 240–270 meters | Statement: [Kuldīga, waterfallWidthApproximate, about 240–270 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterfallWidthApproximate Context triple: [Kuldīga, waterfallWidthApproximate, about 240–270 meters]
-
A.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
B.
waterfallDrop
Indicates a vertical or near-vertical descent of water from a higher level to a lower level, as in a waterfall.
-
C.
hasWaterfall
Indicates that one entity possesses, contains, or features a waterfall associated with it.
-
D.
waterfallName
Indicates that an entity is identified by or associated with the specific name of a waterfall.
-
E.
waterfallLocation
Indicates the spatial location or geographic area where a waterfall is situated.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fbc83481909a30fc7203b64099 |
completed | April 19, 2026, 7:44 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:13 a.m.