Triple

T17286371
Position Surface form Disambiguated ID Type / Status
Subject Norisring street circuit E419664 entity
Predicate nearbyLandmark P350 FINISHED
Object Zeppelinfeld E111617 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: Zeppelinfeld | Statement: [Norisring street circuit, nearbyLandmark, Zeppelinfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeppelinfeld
Context triple: [Norisring street circuit, nearbyLandmark, Zeppelinfeld]
  • A. Zeppelinfeld chosen
    Zeppelinfeld is a historic Nazi-era rally ground in Nuremberg, Germany, designed by Albert Speer and used for mass propaganda events during the Third Reich.
  • B. Blankenheim
    Blankenheim is a municipality in western Germany, known for its historic town center and location in the Eifel region of North Rhine-Westphalia.
  • C. Henschhausen
    Henschhausen is a small district or locality that forms part of the town of Bacharach in Rhineland-Palatinate, Germany.
  • D. Planegg
    Planegg is a municipality in the district of Munich in Bavaria, Germany, known for its scenic location along the Würm River and its proximity to the city of Munich.
  • E. Frankfurt am Main airship base
    Frankfurt am Main airship base was a major German airship facility that served as a key hub for Zeppelin operations in the early 20th century.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4378024988190aac6aec006f8f7a1 completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017955448481909c2464a14c2a9799 completed May 11, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:40 a.m.