Triple
T4331546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Union outermost regions |
E96760
|
entity |
| Predicate | reasonForSpecialMeasures |
P55607
|
FINISHED |
| Object | remoteness |
—
|
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: remoteness | Statement: [European Union outermost regions, reasonForSpecialMeasures, remoteness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForSpecialMeasures Context triple: [European Union outermost regions, reasonForSpecialMeasures, remoteness]
-
A.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
-
B.
reasonForSuppression
Indicates the justification or cause for which something (such as information, data, or content) has been withheld, hidden, or prevented from being shown or used.
-
C.
regulationReason
Indicates the reason or justification for which a regulation is established, applied, or enforced in relation to an entity or activity.
-
D.
reasonForSanctions
Indicates the underlying cause or justification for imposing sanctions on an entity.
-
E.
protectionReason
Indicates the justification or cause for which protection is provided or required in the relationship between entities.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514dc588819086a4c6d585c1b5b1 |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff654308190b9717526120d80d3 |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:13 p.m.