Triple

T13227213
Position Surface form Disambiguated ID Type / Status
Subject Leonhard Tietz E314911 entity
Predicate founded P104 FINISHED
Object Leonhard Tietz AG E314911 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: Leonhard Tietz AG | Statement: [Leonhard Tietz, founded, Leonhard Tietz AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonhard Tietz AG
Context triple: [Leonhard Tietz, founded, Leonhard Tietz AG]
  • A. Leonhard Tietz chosen
    Leonhard Tietz was a German entrepreneur and department store pioneer whose business eventually evolved into the modern retail chain Galeria Kaufhof.
  • B. Kaufhof
    Kaufhof was a major German department store chain that later became part of the Galeria Kaufhof brand.
  • C. Tönnies
    Tönnies is a German surname most notably associated with the sociologist Ferdinand Tönnies, a founding figure of modern sociology.
  • D. Titche-Goettinger department store
    Titche-Goettinger department store was a prominent Dallas-based retail establishment that became a landmark of early 20th-century commerce and urban development in the city.
  • E. Semperit
    Semperit is a tire and rubber products brand owned by the German automotive supplier Continental AG.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d3232d48190a3c792b025c596a6 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a3407388190bef886884cb75912 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:21 p.m.