Triple
T29387953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basque conflict |
E745300
|
entity |
| Predicate | stateResponse |
P190668
|
FINISHED |
| Object | counterterrorism 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: counterterrorism operations | Statement: [Basque conflict, stateResponse, counterterrorism operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateResponse Context triple: [Basque conflict, stateResponse, counterterrorism operations]
-
A.
stateCurrently
Indicates that something is in a particular state or condition at the present moment.
-
B.
stateResponsibilityAcknowledgedBy
Indicates that a state’s responsibility for a particular act, situation, or obligation is formally recognized or accepted by a specified party.
-
C.
stateModel
Indicates that an entity is represented or governed by a particular state-based model or state machine.
-
D.
respondentStatus
Indicates the current role, condition, or state of a respondent in relation to a survey, inquiry, or legal/administrative process.
-
E.
stateLed
Indicates that an entity is governed, directed, or controlled by a state or governmental authority.
- 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_69f0a79cfd5481909b4dde750cb8d2c6 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fcce2cf9188190b3f65b362203a6a3 |
completed | May 7, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fccdd2d84481909a7ce22407def9c7 |
completed | May 7, 2026, 5:37 p.m. |
Created at: April 28, 2026, 2:40 p.m.