Triple
T29136482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omega |
E738522
|
entity |
| Predicate | reasonTargeted |
P69059
|
FINISHED |
| Object | valuable Kaminoan asset |
—
|
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: valuable Kaminoan asset | Statement: [Omega, reasonTargeted, valuable Kaminoan asset]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonTargeted Context triple: [Omega, reasonTargeted, valuable Kaminoan asset]
-
A.
targetedBecauseOf
chosen
Indicates that one entity is made a target of an action, harm, or scrutiny specifically due to possessing a particular attribute, identity, or characteristic.
-
B.
targetedPolicy
Indicates that a policy is specifically directed at, or designed to affect, a particular subset of entities rather than applying broadly.
-
C.
perpetratorsTargeted
Indicates that the perpetrators intentionally selected or focused on specific targets for their actions.
-
D.
reasonForAttack
Indicates that one entity’s attack on another is motivated or caused by the specified reason.
-
E.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
- 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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 28, 2026, 11:34 a.m.