Triple

T17124235
Position Surface form Disambiguated ID Type / Status
Subject Luitpold Arena E415548 entity
Predicate locatedNear P294 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: [Luitpold Arena, locatedNear, Zeppelinfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeppelinfeld
Context triple: [Luitpold Arena, locatedNear, 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f025fce481908e261f2e363e14f9 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a12a7288190911c1be2667916c0 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:36 a.m.