Triple
T6484662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feuchtwangen |
E146477
|
entity |
| Predicate | governingBody |
P46
|
FINISHED |
| Object | Feuchtwangen town council |
E146477
|
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: Feuchtwangen town council | Statement: [Feuchtwangen, governingBody, Feuchtwangen town council]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feuchtwangen town council Context triple: [Feuchtwangen, governingBody, Feuchtwangen town council]
-
A.
Feuchtwangen
chosen
Feuchtwangen is a historic town in Bavaria, Germany, known for its medieval architecture and location along the Romantic Road.
-
B.
Wettingen
Wettingen is a Swiss town in the canton of Aargau, located in the Limmat Valley near the city of Baden.
-
C.
Wendlingen am Neckar
Wendlingen am Neckar is a small town in the district of Esslingen in Baden-Württemberg, southern Germany, situated on the Neckar River and known for its residential character and local industry.
-
D.
Weilheim an der Teck
Weilheim an der Teck is a small historic town in the German state of Baden-Württemberg, located at the foot of the Swabian Alps in southern Germany.
-
E.
Taufkirchen
Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a6de31c81909dd99d105f5bb4c2 |
completed | March 22, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653b24670819088fa8e0d7eb6f73b |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:52 p.m.