Triple
T33474899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schneidemühl |
E857292
|
entity |
| Predicate | regierungsbezirk |
P128478
|
FINISHED |
| Object | Regierungsbezirk Schneidemühl |
—
|
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: Regierungsbezirk Schneidemühl | Statement: [Schneidemühl, regierungsbezirk, Regierungsbezirk Schneidemühl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regierungsbezirk Context triple: [Schneidemühl, regierungsbezirk, Regierungsbezirk Schneidemühl]
-
A.
governmentalDistrictOf
chosen
Indicates that a governmental district is the administrative district to which a given entity belongs or in which it is located.
-
B.
administrativeOkrug
Indicates that one entity functions as an administrative district or okrug governing or encompassing another entity within an administrative hierarchy.
-
C.
administrativeDistrictOf
Indicates that one entity serves as the administrative district or jurisdictional area governing or encompassing another entity.
-
D.
cityAdministrativeRegion
Indicates that a city is located within or governed by a specific administrative region (such as a state, province, or similar jurisdiction).
-
E.
realmSubdivision
Indicates a hierarchical relationship where one realm is a constituent subdivision or part of a larger realm.
- 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_69f3497472508190b300ebd3fd402367 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e501c1fc819081b14287930e834d |
completed | May 3, 2026, 6:02 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:38 a.m.