Triple
T23803684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landkreis Nordvorpommern |
E589641
|
entity |
| Predicate | hadMunicipalityType |
P10835
|
FINISHED |
| Object | Ämter and amtsfreie Gemeinden |
—
|
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: Ämter and amtsfreie Gemeinden | Statement: [Landkreis Nordvorpommern, hadMunicipalityType, Ämter and amtsfreie Gemeinden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadMunicipalityType Context triple: [Landkreis Nordvorpommern, hadMunicipalityType, Ämter and amtsfreie Gemeinden]
-
A.
hasMunicipalityType
chosen
Indicates that an administrative unit is classified as having a specific type or category of municipality (e.g., city, town, village).
-
B.
isPartOfMunicipalityType
Indicates that one administrative unit or area belongs to, or is classified under, a specific type or category of municipality.
-
C.
formerMunicipalityType
Indicates that an entity was previously classified as a specific type of municipality but no longer holds that municipal status.
-
D.
gminaType
Indicates the administrative classification or type of a gmina (municipality) within an administrative hierarchy.
-
E.
countyType
Indicates the classification or category of a county within an administrative or governmental system.
- 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_69e25d19fecc8190a5cf39bbb18d5d7f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c750048c8190899ff611df35b361 |
completed | April 29, 2026, 8:54 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:55 p.m.