Triple
T2606713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Léogâne |
E58676
|
entity |
| Predicate | hasReliefEfforts |
P20228
|
FINISHED |
| Object | post-2010 international humanitarian aid |
—
|
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: post-2010 international humanitarian aid | Statement: [Léogâne, hasReliefEfforts, post-2010 international humanitarian aid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReliefEfforts Context triple: [Léogâne, hasReliefEfforts, post-2010 international humanitarian aid]
-
A.
hasReliefEffortFrom
Indicates that a party receives assistance or support through a relief effort provided by another party.
-
B.
hasRelief
Indicates that one entity features or exhibits a raised or sculpted surface design (relief) in relation to another entity or context.
-
C.
hasReliefOf
Indicates that one entity features, bears, or is adorned with a sculpted or carved relief representation of another entity.
-
D.
hasReliefFeature
Indicates that one entity possesses or includes a specific relief-related physical feature or characteristic.
-
E.
reliefOperation
chosen
Indicates an organized effort or mission carried out to provide aid, support, or assistance in response to an emergency, crisis, or disaster.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8def9bc8190b2e013abffc7b191 |
completed | March 7, 2026, 7:50 a.m. |
| PD | Predicate disambiguation | batch_69abd80ab7248190ba06ba14fe4c5638 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:49 p.m.