Triple
T1591666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resolute Support Mission |
E34189
|
entity |
| Predicate | reductionOfScope |
P30064
|
FINISHED |
| Object | followed the end of ISAF combat operations in 2014 |
—
|
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: followed the end of ISAF combat operations in 2014 | Statement: [Resolute Support Mission, reductionOfScope, followed the end of ISAF combat operations in 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reductionOfScope Context triple: [Resolute Support Mission, reductionOfScope, followed the end of ISAF combat operations in 2014]
-
A.
scopeOfUse
Indicates the range, context, or conditions under which something is intended, allowed, or applicable to be used.
-
B.
reduces
Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
-
C.
scopeOfReset
Indicates the range or extent within which a reset action applies or takes effect.
-
D.
coverageScope
Indicates the extent or range of entities, conditions, or situations that are included under a particular coverage or applicability.
-
E.
scopeType
Indicates the specific range, level, or context within which a given relationship, rule, or action is defined or applies.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93aedd45c819085843ac843d640e8 |
completed | March 5, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69a907bdc19081908c84c5c0aa09e282 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a93aec7dc481909375726fbfb9e272 |
completed | March 5, 2026, 8:12 a.m. |
Created at: March 4, 2026, 7:27 p.m.