Triple

T13388701
Position Surface form Disambiguated ID Type / Status
Subject Eissporthalle Langenhagen E319511 entity
Predicate namedAfter P63 FINISHED
Object Langenhagen E134846 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: Langenhagen | Statement: [Eissporthalle Langenhagen, namedAfter, Langenhagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langenhagen
Context triple: [Eissporthalle Langenhagen, namedAfter, Langenhagen]
  • A. Langenhagen chosen
    Langenhagen is a town in Lower Saxony, Germany, located just north of Hanover and known for hosting part of Hanover Airport and various industrial and commercial facilities.
  • B. Stolzenhagen
    Stolzenhagen is a village and locality within the municipality of Wandlitz in the state of Brandenburg, Germany.
  • C. Blankenfelde-Mahlow
    Blankenfelde-Mahlow is a municipality in the Teltow-Fläming district of Brandenburg, Germany, located just south of Berlin and known as a suburban residential area within the Berlin metropolitan region.
  • D. Ludwigsfelde
    Ludwigsfelde is a town in the German state of Brandenburg, located just south of Berlin and known for its industrial history and automotive manufacturing.
  • E. Sprockhövel
    Sprockhövel is a small town in North Rhine-Westphalia, Germany, known for its historical coal mining heritage and location in the hilly Ruhr 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d3a40081909ba49556130ad0e7 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a83382e88190bfb229f9bab59b17 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:34 p.m.