Triple
T20443727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burghausen old town |
E501459
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Mühldorf am Inn |
—
|
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: Mühldorf am Inn | Statement: [Burghausen old town, nearbyCity, Mühldorf am Inn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mühldorf am Inn Context triple: [Burghausen old town, nearbyCity, Mühldorf am Inn]
-
A.
Mühldorf am Inn
chosen
Mühldorf am Inn is a historic Bavarian town in southeastern Germany situated along the River Inn.
-
B.
Mühldorf
Mühldorf is a municipality in the Austrian state of Carinthia, known for its Alpine setting and proximity to the Drava River.
-
C.
Neuburg am Inn
Neuburg am Inn is a Bavarian municipality in southeastern Germany situated on the River Inn near the city of Passau.
-
D.
Schneizlreuth
Schneizlreuth is a small Bavarian municipality in southeastern Germany, known for its alpine landscapes and location near the Austrian border.
-
E.
Altötting
Altötting is a Bavarian pilgrimage town renowned as one of Germany’s most important Catholic shrines, centered around the Chapel of Grace and its venerated Black Madonna.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68cfa7dd08190883a37e3480b152c |
completed | April 20, 2026, 8:30 p.m. |
Created at: April 16, 2026, 11:32 a.m.