Triple
T34300972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Przemyśl County |
E880171
|
entity |
| Predicate | hasMunicipalSeatOutsideCounty |
P195784
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Przemyśl County, hasMunicipalSeatOutsideCounty, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalSeatOutsideCounty Context triple: [Przemyśl County, hasMunicipalSeatOutsideCounty, false]
-
A.
hasCountySeatInSameCounty
Indicates that the county seat of an administrative region is located within the same county that it serves.
-
B.
hasCountySeatWithin
Indicates that the designated county’s official administrative center (county seat) is located within the specified geographic area or boundary.
-
C.
hasCountySeatCounty
Indicates that a county seat is administratively associated with and serves as the seat of government for a specific county.
-
D.
isInCountySeatOf
Indicates that one entity is located within the town or city that serves as the administrative center (county seat) of a specified county.
-
E.
hasCountySeatCity
Indicates that a county has a specific city that serves as its official administrative center or county seat.
- F. None of above. chosen
Provenance (4 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_69f349b79f6c81909cb468c92c39c74d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fde5d7d9548190880a9d95b8f0f66b |
completed | May 8, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69fde4e1bf9c81909754545275eccc03 |
completed | May 8, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69fde5d677b88190bc904e6df8617c18 |
completed | May 8, 2026, 1:32 p.m. |
Created at: May 1, 2026, 1:57 a.m.