Triple
T6607956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British arbitration in the Beagle conflict |
E149164
|
entity |
| Predicate | triggeredReaction |
P69330
|
FINISHED |
| Object | Argentine rejection of the award |
—
|
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: Argentine rejection of the award | Statement: [British arbitration in the Beagle conflict, triggeredReaction, Argentine rejection of the award]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: triggeredReaction Context triple: [British arbitration in the Beagle conflict, triggeredReaction, Argentine rejection of the award]
-
A.
triggered
Indicates that one entity causes an event, action, or process involving another entity to start or occur.
-
B.
triggeredResponse
chosen
Indicates that one entity’s action or event causes another entity to produce a specific reaction or output.
-
C.
featuresReaction
Indicates that one entity exhibits, displays, or includes a particular reaction associated with another entity or context.
-
D.
reactionType
Indicates the specific kind or category of reaction that occurs between entities or in response to an event or stimulus.
-
E.
trigger
Indicates that one entity causes or initiates an event, state, or action in another entity or system.
- 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cf3796d08190a26e988386089447 |
completed | March 27, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69c6acfed25481909cac74c84a9fe088 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:57 p.m.