Triple
T10054647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Notice |
E208829
|
entity |
| Predicate | doesNotConstitute |
P91850
|
FINISHED |
| Object | an international arrest warrant |
—
|
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: an international arrest warrant | Statement: [Green Notice, doesNotConstitute, an international arrest warrant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotConstitute Context triple: [Green Notice, doesNotConstitute, an international arrest warrant]
-
A.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
B.
doesNotAbolish
Indicates that one entity, action, or law does not eliminate, revoke, or put an end to another.
-
C.
doesNotStandFor
Indicates that one entity does not represent, symbolize, or act on behalf of another entity in any capacity.
-
D.
doesNotConsider
Indicates that one entity fails or chooses not to take another entity or factor into account when forming judgments, decisions, or actions.
-
E.
doesNotNecessarily
Indicates that the specified condition, relationship, or outcome is not guaranteed to hold, even if other related conditions are true.
- 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_69ca836094408190a36a1ea7e9a86fcd |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcfab39408190ac728fe156eed658 |
completed | April 2, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8d2280819089de27e57babd1f3 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8d9b888190b8067bd916dae773 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 8:57 p.m.