Triple
T5807735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franconia |
E128786
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Dinkelsbühl |
E132731
|
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: Dinkelsbühl | Statement: [Franconia, contains, Dinkelsbühl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dinkelsbühl Context triple: [Franconia, contains, Dinkelsbühl]
-
A.
Dinkelsbühl
chosen
Dinkelsbühl is a well-preserved medieval town in Bavaria, Germany, renowned for its intact city walls, historic half-timbered houses, and picturesque old town.
-
B.
Tirschenreuth
Tirschenreuth is a town in northeastern Bavaria, Germany, known for its historic town center and surrounding lake and pond landscapes.
-
C.
Brünnlitz
Brünnlitz is a village in the Czech Republic best known as the location of Oskar Schindler’s wartime factory where he employed and saved Jewish workers during the Holocaust.
-
D.
Kreuth
Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
-
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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b17417081908779741b9bfbb720 |
completed | March 22, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64096580481909a253f26b9535d9f |
completed | March 27, 2026, 8:32 a.m. |
Created at: March 22, 2026, 3:52 p.m.