Triple
T18874998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ONUC |
E461658
|
entity |
| Predicate | usedForceUnder |
P133293
|
FINISHED |
| Object | UN Security Council authorization |
—
|
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: UN Security Council authorization | Statement: [ONUC, usedForceUnder, UN Security Council authorization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForceUnder Context triple: [ONUC, usedForceUnder, UN Security Council authorization]
-
A.
usesForces
Indicates that one entity applies physical, magical, or other types of forces to influence, move, or affect another entity.
-
B.
inForceWith
Indicates that a rule, condition, or agreement is currently active and being applied in conjunction with a specified entity or set of entities.
-
C.
associatedForce
Indicates that there is a force linked or connected to an entity, typically representing the physical influence acting on or exerted by that entity.
-
D.
usedAgainst
Indicates that one entity is employed, applied, or deployed in opposition to, or for the purpose of affecting, another entity.
-
E.
hasForceStrength
Indicates that one entity possesses a certain level or degree of physical or exerted force strength in relation to another entity or context.
- F. None of above. chosen
Provenance (4 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3cd49748190948d535918aec3de |
completed | April 20, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69e48d22dde8819093b1d963bd673365 |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49785fd7081909577e90a55df0a35 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 11:57 a.m.