Triple
T35021785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chybie |
E1010214
|
entity |
| Predicate | belongsToEU |
P150781
|
FINISHED |
| Object | European Union |
—
|
NE NERFINISHED |
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: European Union | Statement: [Chybie, belongsToEU, European Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToEU Context triple: [Chybie, belongsToEU, European Union]
-
A.
belongsToEURegionType
Indicates that an entity is classified within a specific type or category of European Union region.
-
B.
isInEuropeanUnionCountry
chosen
Indicates that the subject entity is located within, or belongs to, a country that is a member of the European Union.
-
C.
hasMemberInEEA
Indicates that an entity has at least one member who is located in, based in, or belongs to the European Economic Area (EEA).
-
D.
EuropeanAffiliation
Indicates that an entity is associated with Europe, such as by membership, origin, operation, or jurisdiction within European countries or institutions.
-
E.
hasEuropeanUnionMembershipThrough
Indicates that an entity holds membership in the European Union indirectly or by virtue of another entity (such as a state, territory, or organization) through which that membership is conferred.
- 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_69f76dccf0108190af43b465d3750196 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff70ecc1a481909571b18d56d982b8 |
completed | May 9, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69ff70322a3c8190837840ea42cd3093 |
completed | May 9, 2026, 5:34 p.m. |
Created at: May 3, 2026, 4:01 p.m.