Triple

T15247104
Position Surface form Disambiguated ID Type / Status
Subject von Tucher family E364410 entity
Predicate associatedWithPlace P2830 FINISHED
Object Simmelsdorf E1166226 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: Simmelsdorf | Statement: [von Tucher family, associatedWithPlace, Simmelsdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simmelsdorf
Context triple: [von Tucher family, associatedWithPlace, Simmelsdorf]
  • A. Simmelsdorf chosen
    Simmelsdorf is a municipality in the district of Nürnberger Land in Bavaria, Germany, known for its rural character and historic Franconian architecture.
  • B. Seifhennersdorf
    Seifhennersdorf is a small town in the Görlitz district of Saxony in eastern Germany, near the Czech border.
  • C. Gimmersdorf
    Gimmersdorf is a small village that forms one of the local subdivisions of the municipality of Wachtberg in Germany.
  • D. Oberwaltersdorf
    Oberwaltersdorf is a municipality in Lower Austria known for its residential character, proximity to Vienna, and local wine-growing and leisure facilities.
  • E. Rannersdorf
    Rannersdorf is a village and cadastral community that forms part of the town of Schwechat in Lower Austria, near Vienna.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f4f9d48190b96a7e0c6993cd69 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f24967c8190b0bdb84b88a0aaa3 completed May 9, 2026, 4:21 p.m.
Created at: April 10, 2026, 3:13 a.m.