Triple
T3071971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Falls |
E64044
|
entity |
| Predicate | numberOfMajorWaterfallsOfNiagaraFalls |
P44271
|
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: [American Falls, numberOfMajorWaterfallsOfNiagaraFalls, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMajorWaterfallsOfNiagaraFalls Context triple: [American Falls, numberOfMajorWaterfallsOfNiagaraFalls, 3]
-
A.
majorWaterfall
Indicates that a waterfall is of significant size, height, or volume relative to other waterfalls.
-
B.
upperFallsHeight
Indicates the vertical height measurement of the upper falls section in a waterfall or multi-tiered cascade.
-
C.
primaryWaterfall
Indicates that one entity serves as the main or most significant waterfall associated with another entity.
-
D.
typeOfWaterfall
Indicates that one entity is a specific kind or category of waterfall in relation to another entity.
-
E.
lowerFallsHeight
Indicates that one entity has a lower vertical extent or height than another.
- 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_69ad857a8aec8190bfdfd9c14554ac5a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada14c8bd881909cf1bb2649ba36db |
completed | March 8, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69ad9625b30c819099ef9349c91d7b25 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f7630c81908e1ca8a69611cff6 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:02 p.m.