Triple
T22195242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COE Review Team |
E548529
|
entity |
| Predicate | assessesEquipmentProvidedBy |
P51624
|
FINISHED |
| Object | troop-contributing countries |
—
|
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: troop-contributing countries | Statement: [COE Review Team, assessesEquipmentProvidedBy, troop-contributing countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assessesEquipmentProvidedBy Context triple: [COE Review Team, assessesEquipmentProvidedBy, troop-contributing countries]
-
A.
hasEquipmentStatus
Indicates the current operational or condition state assigned to a piece of equipment.
-
B.
equipmentIncludes
Indicates that one entity contains, comprises, or has as part of its set of items a specified piece or set of equipment.
-
C.
usesEquipment
Indicates that an entity employs or operates a particular piece of equipment to perform an action or fulfill a function.
-
D.
typeOfEquipmentUsed
Indicates that a particular piece or category of equipment is utilized in performing a specific action, process, or activity.
-
E.
assessmentBasis
chosen
Indicates the underlying criteria, evidence, or method used as the foundation for making an assessment or evaluation between entities.
- 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae6f7a881908cf1772326f91467 |
completed | April 28, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:35 p.m.