Triple
T20466093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamsweg District |
E502052
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Muhr |
—
|
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: Muhr | Statement: [Tamsweg District, hasSettlement, Muhr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muhr Context triple: [Tamsweg District, hasSettlement, Muhr]
-
A.
Muhr
chosen
Muhr is a small Austrian municipality located in the mountainous Lungau region of the state of Salzburg.
-
B.
Merzen
Merzen is a rural municipality in Lower Saxony, Germany, known for its agricultural character and location within the Osnabrück region.
-
C.
Ophasselt
Ophasselt is a village in the Flemish province of East Flanders, Belgium, known as one of the constituent communities of the city of Geraardsbergen.
-
D.
Marheineke
Marheineke is a German surname most notably associated with the 19th-century Protestant theologian Philipp Marheineke.
-
E.
Mengerhausen
Mengerhausen is a locality in Germany known primarily as the place where the screenwriter Franz Schulz died.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696aa0794819082c9989b1f7e9f37 |
completed | April 20, 2026, 9:12 p.m. |
Created at: April 16, 2026, 11:33 a.m.