Triple
T36914408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UKM50 |
E913005
|
entity |
| Predicate | belongsToNUTSHierarchy |
P86056
|
FINISHED |
| Object | UKM |
—
|
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: UKM | Statement: [UKM50, belongsToNUTSHierarchy, UKM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToNUTSHierarchy Context triple: [UKM50, belongsToNUTSHierarchy, UKM]
-
A.
belongsToUN
Indicates that an entity is a member of, or formally affiliated with, the United Nations.
-
B.
belongsToAdministrativeHierarchyLevel
chosen
Indicates that an entity is associated with, or assigned to, a specific level within an administrative or governmental hierarchy.
-
C.
belongsToUnion
Indicates that an entity is a member of, or affiliated with, a specific union organization.
-
D.
hasHierarchyIn
Indicates that one entity occupies a higher or lower level within an ordered structure or chain of command relative to another entity in a specified context.
-
E.
isPartOfHierarchyWith
Indicates that one entity occupies a defined position within an ordered or nested structure relative to another entity in the same hierarchy.
- 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_69f76e879768819085c2fb31a6a5b44b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fffc783b648190bcd7df017514d206 |
completed | May 10, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69fffc03fa24819099e12413dc6e0afd |
completed | May 10, 2026, 3:31 a.m. |
Created at: May 3, 2026, 4:13 p.m.