Triple
T2758509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 45 of the United Nations Charter |
E61162
|
entity |
| Predicate | governsTypeOfForce |
P1062
|
FINISHED |
| Object | air forces |
—
|
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: air forces | Statement: [Article 45 of the United Nations Charter, governsTypeOfForce, air forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governsTypeOfForce Context triple: [Article 45 of the United Nations Charter, governsTypeOfForce, air forces]
-
A.
typeOfGovernmentForces
Indicates the specific kind or classification of government-controlled military or security forces involved in a situation or context.
-
B.
forceType
chosen
Indicates the specific kind or category of force involved in an interaction or event (e.g., physical, legal, military, or other defined force classifications).
-
C.
describesForce
Indicates that one entity characterizes, explains, or specifies the nature or magnitude of a force acting on another entity or system.
-
D.
governs
Indicates that one entity exercises authoritative control, direction, or rule over another entity or domain.
-
E.
typeOfPowerGranted
Indicates the specific kind or category of power or authority that is conferred from one entity to another.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb8d34f88190a760111fe303cf24 |
completed | March 7, 2026, 8:02 a.m. |
| PD | Predicate disambiguation | batch_69abd82de7f48190acd614f28644c6da |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:57 p.m.