Triple
T28075305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MW |
E709523
|
entity |
| Predicate | germanNameOfDistrict |
P145264
|
FINISHED |
| Object | Landkreis Mittelsachsen |
—
|
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: Landkreis Mittelsachsen | Statement: [MW, germanNameOfDistrict, Landkreis Mittelsachsen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: germanNameOfDistrict Context triple: [MW, germanNameOfDistrict, Landkreis Mittelsachsen]
-
A.
subdivisionNameGerman
chosen
Indicates the German-language name assigned to a specific subdivision within a larger geographic or administrative entity.
-
B.
federalStateOfGermany
Indicates that one entity is a federal state (Bundesland) that is a constituent state within the country of Germany.
-
C.
nameInGerman
Indicates that an entity is known or referred to by a specific name in the German language.
-
D.
countryNameGerman
Indicates the German-language name used to refer to a given country.
-
E.
GermanNameOfCapital
Indicates that the given name is the German-language name of a specified capital city.
- 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_69ef9b6f8078819098b741274cd1a2ee |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6403f29d481909168f09c19dcbb18 |
completed | May 2, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 8:48 p.m.