Triple

T17638452
Position Surface form Disambiguated ID Type / Status
Subject Salka Viertel E429159 entity
Predicate familyName P18 FINISHED
Object Viertel NE NERFINISHED

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: Viertel | Statement: [Salka Viertel, familyName, Viertel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viertel
Context triple: [Salka Viertel, familyName, Viertel]
  • A. Viertel chosen
    Viertel is a German-language surname borne by various notable individuals in the arts and literature.
  • B. Quarten
    Quarten is a Swiss municipality in the canton of St. Gallen, known for its location on the shores of Lake Walen and its proximity to the Flumserberg ski and hiking area.
  • C. Quintan
    Quintan is a masculine given name, typically considered a variant of the name Quintin or Quentin, which historically derives from the Latin for "fifth."
  • D. Сквира
    Сквира — це невелике місто в Київській області України, відоме як районний центр із переважно сільськогосподарським оточенням та історичною єврейською спадщиною.
  • E. Dieze
    The Dieze is a river in the southern Netherlands that flows through the city of ’s-Hertogenbosch and ultimately drains into the Dommel and Aa river system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de2c85c819087e17a9ff93e4964 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 6 a.m.