Triple
T23601624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Falls (Rochester) |
E582771
|
entity |
| Predicate | hasPositionInWatercourse |
P152882
|
FINISHED |
| Object | downstream of High Falls (Rochester) |
—
|
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: downstream of High Falls (Rochester) | Statement: [Lower Falls (Rochester), hasPositionInWatercourse, downstream of High Falls (Rochester)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPositionInWatercourse Context triple: [Lower Falls (Rochester), hasPositionInWatercourse, downstream of High Falls (Rochester)]
-
A.
isOnWatercourse
Indicates that one entity is situated directly on, above, or along the path of a watercourse such as a river, stream, or canal.
-
B.
hasWatercourseType
Indicates the specific kind or category of watercourse (such as river, stream, or canal) associated with an entity.
-
C.
hasStructureOnWatercourse
Indicates that a structure is physically located on, over, or directly associated with a specific watercourse.
-
D.
isInWaterwaySystem
Indicates that an entity is part of, contained within, or traverses a particular waterway network or system.
-
E.
isWatercourseOf
Indicates that a watercourse (such as a river or stream) flows through, belongs to, or is geographically associated with a particular area or feature.
- 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_69e248faa2788190abb1581742daa6aa |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b0947bd8819097e26643dc257dc0 |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:43 p.m.