Triple
T25562843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Pond, Kentucky |
E640760
|
entity |
| Predicate | impactOfDisplacement |
P124172
|
FINISHED |
| Object | loss of homes and farms |
—
|
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: loss of homes and farms | Statement: [Golden Pond, Kentucky, impactOfDisplacement, loss of homes and farms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOfDisplacement Context triple: [Golden Pond, Kentucky, impactOfDisplacement, loss of homes and farms]
-
A.
impactOfDisasters
chosen
Indicates the effects or consequences that disasters have on entities, conditions, or outcomes.
-
B.
displacedBy
Indicates that one entity has been moved, replaced, or forced out of its original position, role, or state by another entity.
-
C.
colonialDisplacement
Indicates the forced or coerced removal, relocation, or dispossession of people or communities as a result of colonial expansion, rule, or policies.
-
D.
influencedRelocationOf
Indicates that one entity played a causal or motivating role in another entity’s decision or action to move from one location to another.
-
E.
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.
- 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_69e75dc1beb08190bac7d76b8d6e7bc4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 21, 2026, 3:47 p.m.