Triple
T30034478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippine–United States relations |
E763115
|
entity |
| Predicate | cooperationAreas |
P26572
|
FINISHED |
| Object | counterterrorism |
—
|
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: counterterrorism | Statement: [Philippine–United States relations, cooperationAreas, counterterrorism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cooperationAreas Context triple: [Philippine–United States relations, cooperationAreas, counterterrorism]
-
A.
fieldOfCooperation
Indicates a cooperative relationship in which two or more entities work together within a particular domain, discipline, or area of activity.
-
B.
collaborationArea
chosen
Indicates the domain, topic, or field in which two or more entities work together or collaborate.
-
C.
sharesBilateralCooperationArea
Indicates that two entities engage in cooperative activities or initiatives within a specific, mutually agreed bilateral domain or sector.
-
D.
cooperationAmong
Indicates a relationship in which multiple entities work together collaboratively toward shared goals or mutual benefit.
-
E.
cooperationAreasHistorically
Indicates that the entities have historically cooperated in specific domains or areas of activity.
- 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_69f2246fb2b88190acff36bf7975c8f0 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f679d37ea4819096dd4a2352798748 |
completed | May 2, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 6:50 p.m.