Triple
T8074253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itá Dam |
E188452
|
entity |
| Predicate | flooded |
P34423
|
FINISHED |
| Object | old town of Itá |
—
|
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: old town of Itá | Statement: [Itá Dam, flooded, old town of Itá]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flooded Context triple: [Itá Dam, flooded, old town of Itá]
-
A.
floodEvent
Indicates an occurrence of a flooding event affecting a location, time period, or set of impacted entities.
-
B.
floodCause
chosen
Indicates that one entity is the cause or source of a flood affecting another entity or area.
-
C.
submerged
Indicates that one entity is located beneath the surface of a liquid or other surrounding medium, typically fully covered by it.
-
D.
waterFilled
Indicates that one entity is filled or occupied with water, typically to a certain level or capacity.
-
E.
submergedBy
Indicates that one entity is covered or overwhelmed by liquid, typically water, to the point of being beneath its surface due to the action or presence of another 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb404a98408190b6c8eecb95ad086d |
completed | March 31, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69cb049f1614819087360d1a4c6f0faa |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:27 p.m.