Triple

T17297585
Position Surface form Disambiguated ID Type / Status
Subject Fritz Tugendhat E419951 entity
Predicate familyName P18 FINISHED
Object Tugendhat E1256447 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: Tugendhat | Statement: [Fritz Tugendhat, familyName, Tugendhat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tugendhat
Context triple: [Fritz Tugendhat, familyName, Tugendhat]
  • A. Tugendhat chosen
    Tugendhat is a notable Central European surname associated with several prominent figures in philosophy, politics, and culture.
  • B. Mitterau
    Mitterau is a district of the Austrian city of Krems an der Donau, located in the state of Lower Austria.
  • C. Willendorf
    Willendorf is an archaeological site in Austria renowned for the discovery of the Paleolithic "Venus of Willendorf" figurine.
  • D. Poltár
    Poltár is a small town in central Slovakia known historically for its glassmaking industry and location within the Banská Bystrica administrative region.
  • E. Stará Turá
    Stará Turá is a small Slovak town known for its location in the hilly western part of the country and its traditional industrial and cultural character.
  • 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_69e438f82788819088ea796850552297 completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180d881ec81908e794143d355effe completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:41 a.m.