Triple
T32532815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kistelek |
E831508
|
entity |
| Predicate | belongsToRegionalGrouping |
P5147
|
FINISHED |
| Object | Central Europe |
—
|
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: Central Europe | Statement: [Kistelek, belongsToRegionalGrouping, Central Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToRegionalGrouping Context triple: [Kistelek, belongsToRegionalGrouping, Central Europe]
-
A.
regionalGrouping
chosen
Indicates that entities are organized or associated together based on shared geographic or regional characteristics.
-
B.
belongsToGroup
Indicates that an entity is a member of, or is included within, a particular group or collection.
-
C.
isPartOfRegionType
Indicates that one region belongs to, or is classified under, a broader region type or category.
-
D.
isInLocalGroupRegion
Indicates that an entity is located within the spatial region associated with the Local Group (the galaxy group containing the Milky Way and its neighbors).
-
E.
belongsToEthnographicRegion
Indicates that an entity is associated with or situated within a specific ethnographic region defined by shared cultural or ethnic characteristics.
- 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_69f34924b1cc8190ad3aca0c0f012a7e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fed48d8e148190a99c0aea29f8a3ee |
completed | May 9, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fed3c82a24819095e614e31ac0307f |
completed | May 9, 2026, 6:27 a.m. |
Created at: May 1, 2026, 1:01 a.m.