Triple
T7235552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewes |
E155214
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Waldshut-Tiengen |
E447495
|
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: Waldshut-Tiengen | Statement: [Lewes, hasTwinTown, Waldshut-Tiengen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waldshut-Tiengen Context triple: [Lewes, hasTwinTown, Waldshut-Tiengen]
-
A.
Waldshut-Tiengen
chosen
Waldshut-Tiengen is a town in southwestern Germany near the Swiss border, formed by the merger of Waldshut and Tiengen and known for its historic old town and Rhine River setting.
-
B.
Wiesloch
Wiesloch is a town in the Rhine-Neckar district of Baden-Württemberg, Germany, known for its historical center and role as a regional commercial hub.
-
C.
Ettlingen
Ettlingen is a historic town in the state of Baden-Württemberg in southwestern Germany, known for its well-preserved old town and proximity to the city of Karlsruhe.
-
D.
Nucingen
Nucingen is a powerful and unscrupulous banker in Balzac’s La Comédie humaine, emblematic of the corrupt financial elite of 19th-century Paris.
-
E.
Villingen-Schwenningen
Villingen-Schwenningen is a twin town in the Black Forest region of southwestern Germany, known for its historic city centers and role as an economic and cultural hub in Baden-Württemberg.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea33dd3481908ebb050e1fab5aaa |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c845df01dc8190ac219c0bb87bd83c |
completed | March 28, 2026, 9:19 p.m. |
Created at: March 27, 2026, 2:55 p.m.