Triple
T12464211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CELC |
E297878
|
entity |
| Predicate | foundedAtLocation |
P40
|
FINISHED |
| Object | Oberwesel, Germany |
E351913
|
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: Oberwesel, Germany | Statement: [CELC, foundedAtLocation, Oberwesel, Germany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberwesel, Germany Context triple: [CELC, foundedAtLocation, Oberwesel, Germany]
-
A.
Oberwesel
chosen
Oberwesel is a historic town on the Middle Rhine in Germany, renowned for its well-preserved medieval walls, castles, and picturesque riverside setting.
-
B.
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.
-
C.
Waiblingen, Germany
Waiblingen is a historic town in the German state of Baden-Württemberg, located near Stuttgart and known for its well-preserved old town and role as an industrial and residential center.
-
D.
Mosel, Germany
Mosel, Germany is an industrial locality known for its major automotive manufacturing facilities, including a Volkswagen plant that produces models like the Passat.
-
E.
Oberkochen, Germany
Oberkochen, Germany is a small town in the state of Baden-Württemberg best known as the home of the renowned optics and precision engineering company Carl Zeiss.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94db5efe88190a76949e4ddc3314c |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f1f44f481909c7efdffd2aeac41 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.