Triple
T12013043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridal Veil Falls |
E285952
|
entity |
| Predicate | relativeSizeWithinNiagaraFalls |
P94423
|
FINISHED |
| Object | smallest of the three main waterfalls |
—
|
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: smallest of the three main waterfalls | Statement: [Bridal Veil Falls, relativeSizeWithinNiagaraFalls, smallest of the three main waterfalls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeSizeWithinNiagaraFalls Context triple: [Bridal Veil Falls, relativeSizeWithinNiagaraFalls, smallest of the three main waterfalls]
-
A.
positionRelativeToNiagaraFalls
Indicates the spatial relationship of an entity’s location with respect to Niagara Falls, such as its direction, distance, or relative placement.
-
B.
relativeSizeOnTethys
Indicates how the size of one entity compares to another specifically in the context of Tethys.
-
C.
numberOfMajorWaterfallsOfNiagaraFalls
Indicates the count of major waterfalls that collectively make up Niagara Falls.
-
D.
relativeSizeWithinSite
chosen
Indicates the comparative size relationship of one entity to another within the same site or local context.
-
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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d884488190b4450a98088208ef |
completed | April 10, 2026, 2:06 p.m. |
| PD | Predicate disambiguation | batch_69d902b245cc8190af96a9c2bd9c6250 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.