Triple
T37485921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorengau General Hospital |
E931529
|
entity |
| Predicate | hasDisasterResponseRole |
P103649
|
FINISHED |
| Object | health emergencies in Manus Province |
—
|
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: health emergencies in Manus Province | Statement: [Lorengau General Hospital, hasDisasterResponseRole, health emergencies in Manus Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDisasterResponseRole Context triple: [Lorengau General Hospital, hasDisasterResponseRole, health emergencies in Manus Province]
-
A.
hasDisaster
Indicates that an entity experiences, is affected by, or is associated with a disaster event.
-
B.
postDisasterRole
chosen
Indicates the role or function an entity assumes or performs in the aftermath of a disaster.
-
C.
hasReliefEffortFrom
Indicates that a party receives assistance or support through a relief effort provided by another party.
-
D.
roleInDisasterPrevention
Indicates that an entity has a specific function, responsibility, or involvement in activities aimed at preventing or mitigating disasters.
-
E.
supportsDisasterType
Indicates that one entity is capable of handling, responding to, or being applicable to a specified type of 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff9a25407c81909faa86e72a7a9d17 |
completed | May 9, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69ff99c613688190a03b2f93d5ccad2b |
completed | May 9, 2026, 8:32 p.m. |
Created at: May 3, 2026, 4:17 p.m.