Triple
T23575828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle Falls (Rochester) |
E580252
|
entity |
| Predicate | isMajorWaterfallOn |
P42847
|
FINISHED |
| Object | Genesee River in Rochester |
—
|
NE NERFINISHED |
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: Genesee River in Rochester | Statement: [Middle Falls (Rochester), isMajorWaterfallOn, Genesee River in Rochester]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorWaterfallOn Context triple: [Middle Falls (Rochester), isMajorWaterfallOn, Genesee River in Rochester]
-
A.
majorWaterfall
Indicates that a waterfall is of significant size, height, or volume relative to other waterfalls.
-
B.
hasNumberOfWaterfalls
Indicates the quantity of waterfalls associated with a given entity.
-
C.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
D.
primaryWaterfall
chosen
Indicates that one entity serves as the main or most significant waterfall associated with another entity.
-
E.
isMajorDeepWaterAreaOf
Indicates that one area constitutes a primary or significant deep-water region of another area or entity.
- 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_69e24601a9108190bc31e83833c980e4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1afd6608481909a0d293ba8f65b2b |
completed | April 29, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:38 p.m.