Triple
T17407421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blautopf spring |
E423255
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Blaubeuren |
—
|
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: Blaubeuren | Statement: [Blautopf spring, locatedIn, Blaubeuren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blaubeuren Context triple: [Blautopf spring, locatedIn, Blaubeuren]
-
A.
Blaubeuren
chosen
Blaubeuren is a historic town in the Alb-Donau district of Baden-Württemberg, Germany, known for its medieval old town and the karst spring Blautopf.
-
B.
Ebingen
Ebingen is a district of Albstadt in the Swabian Jura region of Baden-Württemberg, Germany, historically known as an independent town and the birthplace of former German Chancellor Kurt Georg Kiesinger.
-
C.
Badenweiler
Badenweiler is a spa town in southwestern Germany’s Black Forest region, known for its thermal baths and as the place where Russian writer Anton Chekhov died.
-
D.
Buhlbronn
Buhlbronn is a village-sized district of the town of Schorndorf in the German state of Baden-Württemberg.
-
E.
Baiersbronn
Baiersbronn is a municipality in Germany’s Black Forest renowned for its scenic landscapes and high concentration of Michelin-starred restaurants.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b081ae08190b144e333a3a74b02 |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:45 a.m.