Triple
T20811253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ettlingen |
E512308
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Schöllbronn |
E897583
|
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: Schöllbronn | Statement: [Ettlingen, hasSubdivision, Schöllbronn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schöllbronn Context triple: [Ettlingen, hasSubdivision, Schöllbronn]
-
A.
Waldbronn
chosen
Waldbronn is a municipality in the state of Baden-Württemberg in southwestern Germany, known for its spa facilities and proximity to the city of Karlsruhe.
-
B.
Schorndorf
Schorndorf is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval center and as the birthplace of automotive pioneer Gottlieb Daimler.
-
C.
Baiersbronn
Baiersbronn is a municipality in Germany’s Black Forest renowned for its scenic landscapes and high concentration of Michelin-starred restaurants.
-
D.
Winnenden
Winnenden is a small town in the German state of Baden-Württemberg, known for its historic center and role in regional Protestant history.
-
E.
Bromskirchen
Bromskirchen is a small municipality in the Waldeck-Frankenberg district of Hesse, Germany, near the border with North Rhine-Westphalia.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d338ac819096d4a33de831609e |
completed | April 21, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08f8cb61388190922a898ee4c44d2e |
completed | May 16, 2026, 11:07 p.m. |
Created at: April 16, 2026, 12:40 p.m.