Triple

T13154388
Position Surface form Disambiguated ID Type / Status
Subject Duchy of Berg E312545 entity
Predicate capital P234 FINISHED
Object Burg an der Wupper E625681 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: Burg an der Wupper | Statement: [Duchy of Berg, capital, Burg an der Wupper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burg an der Wupper
Context triple: [Duchy of Berg, capital, Burg an der Wupper]
  • A. Benrath
    Benrath is a German surname most notably associated with the late actor Martin Benrath.
  • B. Siegenburg
    Siegenburg is a market town and municipality in Lower Bavaria, Germany, known for its rural character and location within the Kelheim district.
  • C. Godesburg castle
    Godesburg castle is a historic hilltop fortress overlooking the Rhine in the Bonn district of Bad Godesberg, Germany, known for its medieval origins and panoramic views.
  • D. Düsseldorf Castle chosen
    Düsseldorf Castle was a prominent Renaissance-era ducal residence and fortification in Düsseldorf, Germany, serving as a political and administrative center for regional rulers.
  • E. Burgwerben
    Burgwerben is a small municipality in the Weißenfels area of Saxony-Anhalt, Germany, known for its rural character and local wine-growing traditions.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c06ccb881909390df18e1a6f7ed completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaee8aa0819089994b85d56c7740 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:11 p.m.