Triple
T32356381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cannonsville Dam |
E826741
|
entity |
| Predicate | causedInundationOf |
P34423
|
FINISHED |
| Object | Cannonsville, New York |
—
|
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: Cannonsville, New York | Statement: [Cannonsville Dam, causedInundationOf, Cannonsville, New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causedInundationOf Context triple: [Cannonsville Dam, causedInundationOf, Cannonsville, New York]
-
A.
floodCause
chosen
Indicates that one entity is the cause or source of a flood affecting another entity or area.
-
B.
formedByFlooding
Indicates that something came into existence or was created as a result of flooding.
-
C.
inundatedRegion
Indicates that a region is covered or overwhelmed by water, typically due to flooding or heavy precipitation.
-
D.
floodEvent
Indicates an occurrence of a flooding event affecting a location, time period, or set of impacted entities.
-
E.
hasCauseOfSubmergence
Indicates a relationship where one entity is the cause or reason for another entity becoming submerged or underwater.
- 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_69f34915a2588190bb3178f5ec2f48f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 1, 2026, 12:49 a.m.