Triple
T26164595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agra summit |
E654211
|
entity |
| Predicate | secondaryIssue |
P175615
|
FINISHED |
| Object | cross-border terrorism |
—
|
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: cross-border terrorism | Statement: [Agra summit, secondaryIssue, cross-border terrorism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryIssue Context triple: [Agra summit, secondaryIssue, cross-border terrorism]
-
A.
secondaryTo
Indicates that one condition, event, or factor occurs as a consequence of, or is caused by, another primary condition, event, or factor.
-
B.
secondarySee
Indicates that one entity is referenced as an additional or alternative point of consultation or viewing in relation to another entity.
-
C.
secondaryConstituent
Indicates that one entity functions as a secondary or subordinate component, element, or member within the structure or composition of another entity.
-
D.
secondaryFunction
Indicates that an entity has an additional, supporting role or purpose beyond its primary function.
-
E.
secondaryResource
Indicates that a resource serves as a secondary, supporting, or auxiliary resource in relation to a primary one.
- 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_69ee5b44391c81908bdbd8813ba9aa99 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d6a482fc8190b526291cd99b8696 |
completed | May 3, 2026, 5:01 a.m. |
Created at: April 26, 2026, 8:32 p.m.