Triple
T26505257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agura Waterfalls |
E669526
|
entity |
| Predicate | hasNumberOfMainCascades |
P178765
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Agura Waterfalls, hasNumberOfMainCascades, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfMainCascades Context triple: [Agura Waterfalls, hasNumberOfMainCascades, 3]
-
A.
hasNumberOfMainModes
Indicates the relationship that specifies how many primary or main modes (e.g., ways of operation or types) are associated with a given entity.
-
B.
isMajorCascadeOf
Indicates that one event, process, or reaction is the primary or dominant cascade resulting from another, typically triggering a large-scale or critical chain of subsequent effects.
-
C.
hasNumberOfMainCables
Indicates the quantity of primary cables associated with or used by an entity.
-
D.
isCascading
Indicates that one event, action, or effect triggers a chain of subsequent related events, actions, or effects.
-
E.
hasTwoMainFaces
Indicates that an entity possesses exactly two primary or most prominent faces or sides.
- 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_69eeb319ec70819090834c2591cf5f1e |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71421e8d08190807ccfb15d0f0ddb |
completed | May 3, 2026, 9:23 a.m. |
Created at: April 27, 2026, 1:16 a.m.