Triple

T12446894
Position Surface form Disambiguated ID Type / Status
Subject Leinebrücke Hanover E297422 entity
Predicate hasNameInLanguage P15 FINISHED
Object Leinebrücke Hannover E297422 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: Leinebrücke Hannover | Statement: [Leinebrücke Hanover, hasNameInLanguage, Leinebrücke Hannover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leinebrücke Hannover
Context triple: [Leinebrücke Hanover, hasNameInLanguage, Leinebrücke Hannover]
  • A. Leinebrücke Hanover chosen
    Leinebrücke Hanover is a bridge in Hanover, Germany, that spans the River Leine and serves as an important local transport and pedestrian crossing.
  • B. Oberkasseler Brücke
    Oberkasseler Brücke is a major road and tram bridge over the Rhine in Düsseldorf, connecting the city center with the Oberkassel district.
  • C. Bielefeld viaduct
    The Bielefeld viaduct was a strategically vital German railway bridge in World War II, heavily targeted and famously attacked with British "Grand Slam" earthquake bombs.
  • D. Bahnhofbrücke
    Bahnhofbrücke is a central bridge in Zurich that connects the main railway station area with the city’s inner districts across the Limmat River.
  • E. Krämerbrücke
    Krämerbrücke is a historic medieval bridge in Erfurt, Germany, famous for its densely packed, half-timbered houses built along its span and its role as a former merchants’ street.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d90f18c819083a36ff4b9be4a20 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f132d048190b58a8381bdc74cad completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.