Triple
T36585460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guiuan |
E902506
|
entity |
| Predicate | hasReliefOperationsCenter |
P20228
|
FINISHED |
| Object | post-Haiyan humanitarian hub |
—
|
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-Haiyan humanitarian hub | Statement: [Guiuan, hasReliefOperationsCenter, post-Haiyan humanitarian hub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReliefOperationsCenter Context triple: [Guiuan, hasReliefOperationsCenter, post-Haiyan humanitarian hub]
-
A.
hasReliefEffortFrom
Indicates that a party receives assistance or support through a relief effort provided by another party.
-
B.
reliefOrganization
Indicates that an entity is an organization whose primary role is to provide aid, assistance, or relief in response to emergencies, disasters, or humanitarian needs.
-
C.
reliefOperation
chosen
Indicates an organized effort or mission carried out to provide aid, support, or assistance in response to an emergency, crisis, or disaster.
-
D.
hasReliefFeature
Indicates that one entity possesses or includes a specific relief-related physical feature or characteristic.
-
E.
hasEmergencyOperationsCentres
Indicates that an entity possesses or is equipped with one or more emergency operations centres for managing crises or emergency situations.
- 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_69f76e64d8908190868473959a250b94 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.