Triple
T22030808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linz-Land District |
E544079
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Ansfelden |
—
|
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: Ansfelden | Statement: [Linz-Land District, hasMunicipality, Ansfelden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ansfelden Context triple: [Linz-Land District, hasMunicipality, Ansfelden]
-
A.
Ansfelden
chosen
Ansfelden is a town in Upper Austria best known as the birthplace of the composer Anton Bruckner.
-
B.
Patersdorf
Patersdorf is a small municipality in the Bavarian Forest region of southeastern Germany.
-
C.
Hohenems
Hohenems is a small town in the Austrian state of Vorarlberg, known for its historic Jewish quarter and castle.
-
D.
Schärding
Schärding is a historic Austrian town on the border with Germany, known for its well-preserved baroque old town and riverside setting.
-
E.
Gumpoldskirchen
Gumpoldskirchen is a historic wine-growing town in Lower Austria, renowned for its traditional vineyards and picturesque setting near Vienna.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ed0cb08190aead0838cc62934c |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:24 p.m.