Triple
T982674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Technical Cooperation Administration |
E21203
|
entity |
| Predicate | excludedField |
P153
|
FINISHED |
| Object | direct military assistance |
—
|
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: direct military assistance | Statement: [Technical Cooperation Administration, excludedField, direct military assistance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: excludedField Context triple: [Technical Cooperation Administration, excludedField, direct military assistance]
-
A.
excludesField
chosen
Indicates that one entity omits, leaves out, or does not include a particular field or attribute in its definition, usage, or scope.
-
B.
excludes
Indicates that one entity deliberately omits, leaves out, or does not allow the inclusion of another entity within a set, group, or context.
-
C.
excludesLetter
Indicates that one entity does not contain or allow the presence of a specified letter.
-
D.
excludesRegion
Indicates that one entity explicitly omits, leaves out, or does not apply to a specified region or geographic area.
-
E.
acquisitionExcludes
Indicates that a particular acquisition explicitly does not include certain entities, assets, or rights within its scope.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b49284ac8190b1d7c828d728893c |
completed | March 1, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69a4b2aa219081908a6b0ef786b4aa52 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.