Triple
T27302077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 13th Intelligence Squadron |
E688937
|
entity |
| Predicate | conflictSupport |
P13019
|
FINISHED |
| Object | Global War on Terrorism |
—
|
NE NERFINISHED |
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: Global War on Terrorism | Statement: [13th Intelligence Squadron, conflictSupport, Global War on Terrorism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conflictSupport Context triple: [13th Intelligence Squadron, conflictSupport, Global War on Terrorism]
-
A.
supportedConflict
chosen
Indicates that one party provided assistance, resources, or endorsement to a side involved in a conflict or dispute.
-
B.
conflictUse
Indicates a relationship where one entity’s use, application, or operation is incompatible with, obstructs, or negatively interferes with another entity’s use.
-
C.
conflictWith
Indicates that two entities are in opposition or disagreement, such that their goals, actions, or states are incompatible or interfere with each other.
-
D.
conflictRequirement
Indicates that one requirement is incompatible with or prevents the fulfillment of another requirement.
-
E.
conflictSpecific
Indicates a specific, concrete instance or type of conflict that exists between the related entities.
- 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_69ef355b931c8190a63cafaf7bcc008b |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 27, 2026, 11:22 a.m.