Triple
T33699281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SI-112 (Municipality of Sevnica) |
E863408
|
entity |
| Predicate | hasTerritorialUnitSeat |
P15510
|
FINISHED |
| Object | Sevnica |
—
|
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: Sevnica | Statement: [SI-112 (Municipality of Sevnica), hasTerritorialUnitSeat, Sevnica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTerritorialUnitSeat Context triple: [SI-112 (Municipality of Sevnica), hasTerritorialUnitSeat, Sevnica]
-
A.
hasSeatOfAdministration
Indicates that an administrative body or jurisdiction has a specific place or location that serves as its central seat of governance or administration.
-
B.
hasMunicipalLeaderSeat
Indicates that a specific location serves as the official seat or office location of a municipal leader (e.g., mayor) for a municipality.
-
C.
municipalitySeat
chosen
Indicates that one entity serves as the administrative center or capital (seat) of a municipality.
-
D.
hasTownshipSeat
Indicates that a particular location serves as the administrative or governing center (seat) of a specified township.
-
E.
mainSeatOf
Indicates that one entity serves as the primary or central seat (e.g., of government, administration, or authority) for another entity.
- 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_69f3498723a08190ac034339cc78eade |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
Created at: May 1, 2026, 1:43 a.m.