Triple
T29495234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Survivor: Kaôh Rōng |
E748200
|
entity |
| Predicate | numberOfMedicalEvacuations |
P8973
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Survivor: Kaôh Rōng, numberOfMedicalEvacuations, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMedicalEvacuations Context triple: [Survivor: Kaôh Rōng, numberOfMedicalEvacuations, 3]
-
A.
medicalEvacuationCapacity
Indicates the ability or resources available to transport and care for patients during a medical evacuation operation.
-
B.
numberOfTroopsEvacuated
Indicates the quantity of troops that have been removed from a location or situation and transported to safety.
-
C.
supportsMedEvacOperations
Indicates the capability or role of providing assistance, resources, or infrastructure necessary to conduct medical evacuation operations.
-
D.
numberOfEvacuated
chosen
Indicates the total count of individuals who have been evacuated from a location or situation.
-
E.
numberOfEvacuatedTonsOfCargo
Indicates the quantity of cargo, measured in tons, that has been evacuated from a location or situation.
- 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_69f0bd448c6881908aa6b475cefd5ddc |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fff9b126b4819085a4cf8791d388d1 |
completed | May 10, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69fff8f913a881908d3b7e490d92631f |
completed | May 10, 2026, 3:18 a.m. |
Created at: April 28, 2026, 4:18 p.m.