Triple
T21064532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Orchard |
E518931
|
entity |
| Predicate | intelligenceSupport |
P32507
|
FINISHED |
| Object | signals intelligence |
—
|
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: signals intelligence | Statement: [Operation Orchard, intelligenceSupport, signals intelligence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intelligenceSupport Context triple: [Operation Orchard, intelligenceSupport, signals intelligence]
-
A.
intelligenceService
Indicates that one entity functions as an intelligence or security service organization for another entity.
-
B.
providesIntelligenceTo
chosen
Indicates that one entity supplies information, analysis, or insight that enhances the knowledge or decision-making capability of another entity.
-
C.
intelligenceUnitUnitedStates
Indicates a relationship where an intelligence unit is part of, operated by, or otherwise affiliated with the United States.
-
D.
intelligenceAgencyInvolved
Indicates that an intelligence agency participates in, influences, or is otherwise involved in the referenced event, operation, or relationship.
-
E.
intelligenceServiceDepicted
Indicates that an intelligence or security service organization is visually or narratively represented in the context (e.g., in a work, scene, or depiction).
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb29e388190a80fa969a4daa606 |
completed | April 21, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:44 p.m.