Triple
T11604689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air America |
E275222
|
entity |
| Predicate | allegedActivity |
P52031
|
FINISHED |
| Object | involvement in drug trafficking |
—
|
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: involvement in drug trafficking | Statement: [Air America, allegedActivity, involvement in drug trafficking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allegedActivity Context triple: [Air America, allegedActivity, involvement in drug trafficking]
-
A.
allegedAction
chosen
Indicates that an action is claimed or asserted to have occurred, typically without being proven or confirmed.
-
B.
illegalActivityAssociatedWith
Indicates that there is a connection between an entity and an unlawful or criminal activity.
-
C.
allegedUse
Indicates that something is claimed or suspected to have been used, without confirming that the use actually occurred.
-
D.
allegedAgentOf
Indicates that one entity is claimed or suspected, but not confirmed, to be the agent responsible for an action or event involving another entity.
-
E.
allegedOrganization
Indicates that an entity is claimed or suspected to be an organization, without confirming that the claim is true.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d895502e0081909ee9c3d45d26cd91 |
completed | April 10, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_69d85dd20d188190863d1190d4c16048 |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.