Triple

T3252811
Position Surface form Disambiguated ID Type / Status
Subject Great Road (Große Straße) E68220 entity
Predicate near 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: [Great Road (Große Straße), near, Zeppelinfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeppelinfeld
Context triple: [Great Road (Große Straße), near, 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. Ostenfelde
    Ostenfelde is a village in Germany best known as the birthplace of the influential 19th-century mathematician Karl Weierstrass.
  • C. Lilienthal
    Lilienthal is a German-origin surname borne by various notable individuals, including figures in aviation, science, and public service.
  • D. Drensteinfurt
    Drensteinfurt is a small town in North Rhine-Westphalia, Germany, known for its historic architecture and location in the Münsterland region.
  • E. Hornsberg
    Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf440bb88190a2450405afae7f1f completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e8330720819091548d7f9652003a completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:09 p.m.