Triple
T19278397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millstätter See |
E482116
|
entity |
| Predicate | adjacentSettlement |
P3883
|
FINISHED |
| Object | Millstatt |
—
|
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: Millstatt | Statement: [Millstätter See, adjacentSettlement, Millstatt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Millstatt Context triple: [Millstätter See, adjacentSettlement, Millstatt]
-
A.
Millstatt
chosen
Millstatt is a picturesque lakeside municipality in Carinthia, Austria, known for its historic abbey and scenic setting on the shores of Millstätter See.
-
B.
Illschwang
Illschwang is a small municipality in the Upper Palatinate region of Bavaria, Germany, known for its rural character and scenic surroundings.
-
C.
Mallnitz
Mallnitz is an Austrian alpine village and municipality in the state of Carinthia, known as a gateway to the Hohe Tauern National Park and a popular destination for hiking and winter sports.
-
D.
Marchfeld
Marchfeld is a fertile lowland region in eastern Austria known for its intensive agriculture and vegetable production.
-
E.
Habstetten
Habstetten is a village and locality within the municipality of Bolligen in the canton of Bern, Switzerland.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbbe6e9c8190a7fa2ef3aa598e6c |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:30 p.m.