Triple
T4292842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yacyretá Dam |
E99635
|
entity |
| Predicate | causedDisplacementOfPeople |
P51873
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Yacyretá Dam, causedDisplacementOfPeople, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causedDisplacementOfPeople Context triple: [Yacyretá Dam, causedDisplacementOfPeople, yes]
-
A.
civilianDisplacement
Indicates the forced or compelled movement of civilian populations from their homes or usual places of residence, typically due to conflict, violence, or persecution.
-
B.
displacementCause
chosen
Indicates a causal relationship where one entity is responsible for the displacement or forced movement of another entity from its original location or situation.
-
C.
displacedBy
Indicates that one entity has been moved, replaced, or forced out of its original position, role, or state by another entity.
-
D.
numberOfEvacuated
Indicates the total count of individuals who have been evacuated from a location or situation.
-
E.
displacedPeopleEstimate
Indicates an estimated number of people who have been forced to leave their homes or usual places of residence due to a particular event or situation.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35082228081908504e3fd7c4ca1e8 |
completed | March 12, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69b347fe55a88190b77bab0c0f38e1aa |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:08 p.m.