Triple
T231910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Channel Islands |
E4428
|
entity |
| Predicate | europeanUnionStatus |
P10153
|
FINISHED |
| Object | not part of European Union |
—
|
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: not part of European Union | Statement: [Channel Islands, europeanUnionStatus, not part of European Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: europeanUnionStatus Context triple: [Channel Islands, europeanUnionStatus, not part of European Union]
-
A.
EUMemberState
Indicates that an entity is a country that is a member state of the European Union.
-
B.
EuropeanAffiliation
Indicates that an entity is associated with Europe, such as by membership, origin, operation, or jurisdiction within European countries or institutions.
-
C.
unificationDate
Indicates the date on which two or more previously separate entities were formally unified into a single entity.
-
D.
isNATOAllyOf
Indicates that one entity is a member of NATO and has a formal alliance relationship with the other entity within the NATO framework.
-
E.
hasSupranationalInstitution
Indicates that an entity is associated with or governed by an institution that operates above the level of individual nation-states.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25f14f72081908182e76300b59358 |
completed | Feb. 28, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69a25b5c8c888190b5544e687736b373 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25f1450f08190872bcf58a32d506b |
completed | Feb. 28, 2026, 3:20 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.