Triple
T35676014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wertingen |
E1030857
|
entity |
| Predicate | regionalGovernmentSeat |
P3877
|
FINISHED |
| Object | Regierungsbezirk Schwaben in Augsburg |
—
|
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: Regierungsbezirk Schwaben in Augsburg | Statement: [Wertingen, regionalGovernmentSeat, Regierungsbezirk Schwaben in Augsburg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalGovernmentSeat Context triple: [Wertingen, regionalGovernmentSeat, Regierungsbezirk Schwaben in Augsburg]
-
A.
municipalitySeat
Indicates that one entity serves as the administrative center or capital (seat) of a municipality.
-
B.
cityAsSeatOfGovernment
Indicates that a city serves as the official seat or location of a government’s central authority or administration.
-
C.
mainSeatOf
Indicates that one entity serves as the primary or central seat (e.g., of government, administration, or authority) for another entity.
-
D.
capitalCityOfRegion
chosen
Indicates that a city serves as the official capital of a specified region, functioning as its primary administrative or governmental center.
-
E.
municipalityCapital
Indicates that one entity serves as the administrative capital or seat of government for a given municipality.
- 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_69f76e0acfc0819082c8495c2210ce73 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffdf47d9608190830ca23d9cef6409 |
completed | May 10, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69ffdf00e2b4819082dd5cb78f316baf |
completed | May 10, 2026, 1:27 a.m. |
Created at: May 3, 2026, 4:05 p.m.