Triple
T6842040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Menu |
E157795
|
entity |
| Predicate | impactOnCountry |
P8692
|
FINISHED |
| Object | destabilization of Cambodia |
—
|
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: destabilization of Cambodia | Statement: [Operation Menu, impactOnCountry, destabilization of Cambodia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnCountry Context triple: [Operation Menu, impactOnCountry, destabilization of Cambodia]
-
A.
nationalImpact
Indicates that something has a significant effect or influence at the level of an entire nation.
-
B.
affectedCountry
chosen
Indicates that a particular country is impacted or influenced by an event, action, or condition.
-
C.
impactCategory
Indicates the type or domain of effect that one entity or action has on another, classifying the nature of its impact.
-
D.
impactOnIran
Indicates the effect or consequences that an action, event, or policy has on Iran.
-
E.
impactRegion
Indicates the geographic or spatial area that is affected or influenced by a particular event, action, or phenomenon.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b5f7648190ad8561caeb678932 |
completed | March 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69c6d09f90648190bc0a462c7d59de1b |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:19 p.m.