Triple
T31211453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cascada Grande |
E795752
|
entity |
| Predicate | hasNumberOfMainWaterfallsAtSite |
P47968
|
FINISHED |
| Object | two |
—
|
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: two | Statement: [Cascada Grande, hasNumberOfMainWaterfallsAtSite, two]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfMainWaterfallsAtSite Context triple: [Cascada Grande, hasNumberOfMainWaterfallsAtSite, two]
-
A.
hasNumberOfWaterfalls
chosen
Indicates the quantity of waterfalls associated with a given entity.
-
B.
numberOfMajorWaterfallsInCity
Indicates the count of major waterfalls located within a given city.
-
C.
hasFamousWaterfall
Indicates that an entity is associated with, contains, or is the location of a well-known or notable waterfall.
-
D.
majorWaterfall
Indicates that a waterfall is of significant size, height, or volume relative to other waterfalls.
-
E.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
- 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_69f224d9d52c8190a61f68ded37fa755 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd91a5dad8819093eeeef527027890 |
completed | May 8, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69fd8f65fe9081908902500a3228d935 |
completed | May 8, 2026, 7:23 a.m. |
Created at: April 29, 2026, 9:09 p.m.