Triple
T13674182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Roth |
E327828
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Georgensgmünd |
E131841
|
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: Georgensgmünd | Statement: [district of Roth, contains, Georgensgmünd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georgensgmünd Context triple: [district of Roth, contains, Georgensgmünd]
-
A.
Georgensgmünd
chosen
Georgensgmünd is a market town in the Roth district of Bavaria, Germany, known for its location at the confluence of the Rednitz and Schwäbische Rezat rivers.
-
B.
Günsberg
Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
-
C.
Geisenfeld
Geisenfeld is a small town in Bavaria, Germany, known as the birthplace of prominent early Nazi politician Gregor Strasser.
-
D.
Giengen an der Brenz
Giengen an der Brenz is a small town in the state of Baden-Württemberg in southern Germany, known as the birthplace of the Steiff teddy bear.
-
E.
Mittenwald
Mittenwald is a picturesque Bavarian town renowned for its traditional violin-making heritage and scenic setting in the German Alps near the Austrian border.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65aab348190a6611f5765f8392d |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b145fa081908521c103201f3afe |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:53 p.m.