Triple
T19992414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marktbreit |
E494094
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Ochsenfurt |
—
|
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: Ochsenfurt | Statement: [Marktbreit, locatedNear, Ochsenfurt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ochsenfurt Context triple: [Marktbreit, locatedNear, Ochsenfurt]
-
A.
Ochsenfurt
chosen
Ochsenfurt is a historic Bavarian town in southern Germany situated on the Main River, known for its medieval architecture and wine-growing tradition.
-
B.
Haßfurt
Haßfurt is a small town in northern Bavaria, Germany, situated on the Main River and known for its historic architecture and regional administrative role.
-
C.
Filderstadt
Filderstadt is a town in the German state of Baden-Württemberg, situated just south of Stuttgart and known for its proximity to Stuttgart Airport and role as a regional transport hub.
-
D.
Forchheim
Forchheim is a town in Upper Franconia, Bavaria, Germany, known for its historic old town and location along major regional rail and road routes.
-
E.
Alzey
Alzey is a historic town in the Rhineland-Palatinate region of Germany, known as one of the Nibelungen cities and for its wine-growing tradition.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe10ffc81908c94168b0a8ea9c9 |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:31 p.m.