Triple
T12719769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monmouth, Wales |
E303942
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Wiesbaden, Germany |
E254546
|
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: Wiesbaden, Germany | Statement: [Monmouth, Wales, twinnedWith, Wiesbaden, Germany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wiesbaden, Germany Context triple: [Monmouth, Wales, twinnedWith, Wiesbaden, Germany]
-
A.
Frankfort, Germany
Frankfort, Germany is a German city whose name has been used for places abroad, including the village of Frankfort in Illinois, USA.
-
B.
Wiesbaden
chosen
Wiesbaden is a historic spa city in western Germany known for its thermal springs, elegant architecture, and role as a regional administrative and cultural center.
-
C.
Weinheim, Germany
Weinheim, Germany is a town in the state of Baden-Württemberg known for its historic old town, twin castles, and role as a regional economic and publishing center.
-
D.
Badenweiler, Germany
Badenweiler, Germany is a spa town in the Black Forest region of southwestern Germany, renowned for its thermal baths and historic resort atmosphere.
-
E.
Bad Dürkheim, Germany
Bad Dürkheim is a spa town in Germany’s Rhineland-Palatinate region, known for its wine production and the annual Wurstmarkt wine festival.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96411d87481909127e81755f23964 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b8c84308190b57d3b5b04bb4a78 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:24 p.m.