Triple
T15792488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peruvian civil conflict (1980s–1990s) |
E382892
|
entity |
| Predicate | governmentStrategy |
P12442
|
FINISHED |
| Object | counterinsurgency operations |
—
|
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: counterinsurgency operations | Statement: [Peruvian civil conflict (1980s–1990s), governmentStrategy, counterinsurgency operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentStrategy Context triple: [Peruvian civil conflict (1980s–1990s), governmentStrategy, counterinsurgency operations]
-
A.
governmentAction
chosen
Indicates actions, decisions, or interventions carried out by a government or its agencies in relation to other entities.
-
B.
governmentOutcome
Indicates the result, consequence, or effect produced by a government’s decisions, actions, or policies.
-
C.
governmentInvolvement
Indicates that a government participates in, influences, regulates, or otherwise plays a role in the specified activity, process, or entity.
-
D.
countryGovernment
Indicates the type or form of government that exercises authority over a given country.
-
E.
coordinatesNationalPoliciesFor
Indicates that one entity organizes and harmonizes national-level policies or strategies across multiple actors or domains.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d9623081908496cdfdf86a078a |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e00537bd1c81908d6e832792fd934f |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:48 a.m.