Triple
T25016128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nowy Korczyn |
E626135
|
entity |
| Predicate | belongsToNUTS |
P145130
|
FINISHED |
| Object | Świętokrzyskie region |
—
|
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: Świętokrzyskie region | Statement: [Nowy Korczyn, belongsToNUTS, Świętokrzyskie region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToNUTS Context triple: [Nowy Korczyn, belongsToNUTS, Świętokrzyskie region]
-
A.
NUTSRegionCode
Indicates the classification of an entity according to the NUTS (Nomenclature of Territorial Units for Statistics) regional coding system used for statistical regions.
-
B.
belongsToTerritorialCollectivity
Indicates that one entity is administratively or jurisdictionally part of, or under the authority of, a specific territorial collectivity.
-
C.
hasSubregionRelationWith
Indicates a relationship where one region is a subregion or contained part of another region.
-
D.
locatedInNUTS2
chosen
Indicates that one entity is geographically situated within, or belongs to, a specific NUTS-2 (Nomenclature of Territorial Units for Statistics level 2) region.
-
E.
hasTerritorialInterestIn
Indicates that an entity claims, seeks, or maintains control, influence, or rights over a specific geographic area or territory.
- 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_69e2ff27755881908490178e83701160 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 18, 2026, 6:06 a.m.