Triple
T25515970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific and Middle East theaters (modern conflicts) |
E639508
|
entity |
| Predicate | includesConflictCategory |
P129294
|
FINISHED |
| Object | regional conflicts |
—
|
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: regional conflicts | Statement: [Pacific and Middle East theaters (modern conflicts), includesConflictCategory, regional conflicts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesConflictCategory Context triple: [Pacific and Middle East theaters (modern conflicts), includesConflictCategory, regional conflicts]
-
A.
mentionsConflict
Indicates that one entity refers to or discusses a dispute, disagreement, or conflict involving another entity.
-
B.
conflictsCovered
Indicates that the conflicts or disputes between the involved entities have been addressed or are included within a specified agreement, scope, or coverage.
-
C.
triggersConflict
Indicates that one entity initiates or causes a dispute, clash, or incompatibility to arise with another entity or within a system.
-
D.
conflictsOccurIn
chosen
Indicates that one or more conflicts take place within, or are situated in, a specified context, location, or setting.
-
E.
conflictWith
Indicates that two entities are in opposition or disagreement, such that their goals, actions, or states are incompatible or interfere with each other.
- 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_69e75dbe32e48190a62d749a0ff2a96a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: April 21, 2026, 2:56 p.m.