Triple
T35041892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Journey Behind the Falls |
E1011091
|
entity |
| Predicate | approxHeightOfFallsViewed |
P42841
|
FINISHED |
| Object | about 57 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: about 57 metres | Statement: [Journey Behind the Falls, approxHeightOfFallsViewed, about 57 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approxHeightOfFallsViewed Context triple: [Journey Behind the Falls, approxHeightOfFallsViewed, about 57 metres]
-
A.
approximateHeightOfFallsViewed
chosen
Indicates the estimated vertical height of the waterfalls as observed or perceived by the viewer.
-
B.
heightAboveFalls
Indicates that one entity is located at a higher elevation than a waterfall or waterfalls associated with another entity.
-
C.
viewingDistanceFromFalls
Indicates the distance from which an observer views or experiences the falls.
-
D.
numberOfMajorFalls
Indicates the count of significant or serious falling incidents experienced by an entity within a specified period or context.
-
E.
numberOfIndividualFalls
Indicates the count of separate falling incidents experienced by an individual.
- 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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff3e1762d8819089a60e402e682817 |
completed | May 9, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69ff3d8c6f308190a0646b1432752eb8 |
completed | May 9, 2026, 1:58 p.m. |
Created at: May 3, 2026, 4:01 p.m.