Triple

T12494512
Position Surface form Disambiguated ID Type / Status
Subject Wittelsbach Castle E298648 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Oberwittelsbach E993542 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: Oberwittelsbach | Statement: [Wittelsbach Castle, hasNearbySettlement, Oberwittelsbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oberwittelsbach
Context triple: [Wittelsbach Castle, hasNearbySettlement, Oberwittelsbach]
  • A. Unterwittelsbach chosen
    Unterwittelsbach is a small Bavarian village in Germany known for its historical association with the Wittelsbach noble family and the nearby Wittelsbach Castle.
  • B. Obersüßbach
    Obersüßbach is a small municipality in the Landshut district of Lower Bavaria in southeastern Germany.
  • C. Oberleichtersbach
    Oberleichtersbach is a small municipality in the Bavarian region of Lower Franconia in Germany.
  • D. Oberreichenbach
    Oberreichenbach is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany, characterized by its rural setting and local community life.
  • E. Weilersbach
    Weilersbach is a small municipality in the Forchheim district of Bavaria, Germany, known for its rural character and proximity to the Franconian Switzerland region.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de4089c8190917a45365e641437 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6685bafcc8190beae748d979762e1 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:56 p.m.