Triple
T17049869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main-Tauber-Kreis |
E413663
|
entity |
| Predicate | locatedInRegion |
P40
|
FINISHED |
| Object | Tauberfranken |
E1248415
|
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: Tauberfranken | Statement: [Main-Tauber-Kreis, locatedInRegion, Tauberfranken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tauberfranken Context triple: [Main-Tauber-Kreis, locatedInRegion, Tauberfranken]
-
A.
Tauberfranken
chosen
Tauberfranken is a German wine region known for its vineyards along the Tauber River, producing mainly Franconian-style white wines.
-
B.
Untertürkheim
Untertürkheim is a district of Stuttgart, Germany, best known as a major hub of the Mercedes-Benz automotive industry.
-
C.
Baden-Rodemachern
Baden-Rodemachern was a small German margraviate and noble residence associated with a cadet branch of the House of Baden in the early modern period.
-
D.
Thurgau
Thurgau is a canton in northeastern Switzerland known for its agriculture, particularly apple orchards and vineyards, and its location along Lake Constance.
-
E.
Tölzer Land
Tölzer Land is a scenic tourist region in Upper Bavaria, Germany, known for its Alpine landscapes, traditional villages, and outdoor recreation opportunities.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa1aeac81909e8d97bd708c6b71 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ed60d3481909c8144bcb01316a1 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:34 a.m.