Triple
T20026361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svätý Jur |
E494991
|
entity |
| Predicate | hasDistrictCode |
P43726
|
FINISHED |
| Object | SK-PE |
—
|
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: SK-PE | Statement: [Svätý Jur, hasDistrictCode, SK-PE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDistrictCode Context triple: [Svätý Jur, hasDistrictCode, SK-PE]
-
A.
hasDistrictKey
Indicates that an entity is associated with a specific district through a unique identifying key.
-
B.
districtCode
chosen
Indicates that an entity is associated with, or identified by, a specific administrative district code.
-
C.
hasPostcodeDistrictCode
Indicates that an entity is associated with a specific postcode district code within a postal addressing system.
-
D.
hasDivisionCode
Indicates that an entity is associated with a specific division identifier or code within an organizational or classification structure.
-
E.
containsDistrictMunicipality
Indicates that an administrative region includes one or more district municipalities within its boundaries.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6628e1eec81908e4c9b2b0b68f0e4 |
completed | April 20, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69e54ce752748190a0a1ffddd0372271 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:35 p.m.