Triple
T14266935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Württemberg-Oels |
E353670
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Oels |
E462193
|
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: Oels | Statement: [Württemberg-Oels, capital, Oels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oels Context triple: [Württemberg-Oels, capital, Oels]
-
A.
Oels
chosen
Oels is a town in present-day Oleśnica, Poland, historically part of Silesia and known as the birthplace of notable figures such as the German artist Sigmar Polke.
-
B.
Maschteich
Maschteich is an artificial pond in Hanover, Germany, situated in the Maschpark near the New Town Hall and known for its scenic urban green setting.
-
C.
Greußen
Greußen is a small town in the Kyffhäuserkreis district of Thuringia in central Germany, known for its rural character and regional historical heritage.
-
D.
Brieg
Brieg is a historic town in southwestern Poland, known today as Brzeg, that was formerly part of Germany’s Silesia region.
-
E.
Dornstadt
Dornstadt is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, located near the city of Ulm.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6358c2288190ac1fd26e688a605d |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326551b08190ae8fe220a6422339 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:09 a.m.