Triple
T10825562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qikiqtani General Hospital |
E255489
|
entity |
| Predicate | coordinatesMedicalEvacuations |
P63492
|
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: [Qikiqtani General Hospital, coordinatesMedicalEvacuations, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coordinatesMedicalEvacuations Context triple: [Qikiqtani General Hospital, coordinatesMedicalEvacuations, yes]
-
A.
medicalEvacuationCapacity
Indicates the ability or resources available to transport and care for patients during a medical evacuation operation.
-
B.
supportsMedEvacOperations
chosen
Indicates the capability or role of providing assistance, resources, or infrastructure necessary to conduct medical evacuation operations.
-
C.
rescueCasualties
Indicates performing actions to locate, assist, and remove injured or endangered individuals from a hazardous or emergency situation.
-
D.
numberOfTroopsEvacuated
Indicates the quantity of troops that have been removed from a location or situation and transported to safety.
-
E.
evacuationPoint
Indicates a location designated as the place where people should gather or be moved to during an evacuation.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734d0389c819090a892693c4046ed |
completed | April 9, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69d70d1bf3648190b36fa96ea018e0dc |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.