Triple
T2993975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nebel |
E81022
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Höchstädt an der Donau |
E316250
|
NE FINISHED |
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: Höchstädt an der Donau | Statement: [Nebel, flowsNear, Höchstädt an der Donau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Höchstädt an der Donau Context triple: [Nebel, flowsNear, Höchstädt an der Donau]
-
A.
Höchstädt an der Donau
chosen
Höchstädt an der Donau is a Bavarian town in southern Germany known for its historic castle and its proximity to major Danube River battlefields.
-
B.
Vilshofen an der Donau
Vilshofen an der Donau is a Bavarian town on the Danube River known for its historic old town and role as a regional commercial and cultural center.
-
C.
Neuötting
Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
-
D.
Mühldorf am Inn
Mühldorf am Inn is a historic Bavarian town in southeastern Germany situated along the River Inn.
-
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 (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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99e291e0819089f81c0a7d7a6cd9 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e3bac408190b09bafee840eb0d1 |
completed | March 11, 2026, 8:56 a.m. |
Created at: March 8, 2026, 2:59 p.m.