Triple

T546590
Position Surface form Disambiguated ID Type / Status
Subject Zeppelin Field E12745 entity
Predicate hasPart P35 FINISHED
Object Zeppelin Grandstand E12745 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: Zeppelin Grandstand | Statement: [Zeppelin Field, hasPart, Zeppelin Grandstand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeppelin Grandstand
Context triple: [Zeppelin Field, hasPart, Zeppelin Grandstand]
  • A. Zeppelin Field chosen
    Zeppelin Field is a large historic parade ground in Nuremberg, Germany, best known for its monumental Nazi-era architecture and use as a central stage for mass propaganda rallies during the Third Reich.
  • B. Centennial Wheel
    The Centennial Wheel is a large, modern Ferris wheel at Chicago’s Navy Pier that offers panoramic views of the city skyline and Lake Michigan.
  • C. Airbus Beluga
    The Airbus Beluga is a large, whale-shaped cargo aircraft designed for transporting oversized aerospace components and other outsize freight.
  • D. Sunsphere
    The Sunsphere is a 266-foot-tall, gold-glass observation tower built as the symbol of the 1982 World's Fair in Knoxville, Tennessee.
  • E. Flying J
    Flying J is a chain of highway travel centers and truck stops in North America, known for providing fuel, food, and amenities for professional drivers and motorists.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a498e150e88190b35b1bc7a376ca07 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4d044b03c8190b7c87b0da05e4d6e completed March 1, 2026, 11:48 p.m.
Created at: March 1, 2026, 7:32 p.m.