Triple

T18610660
Position Surface form Disambiguated ID Type / Status
Subject Shteynberg E454881 entity
Predicate hasAlternativeTransliteration P5923 FINISHED
Object Shtejnberg 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: Shtejnberg | Statement: [Shteynberg, hasAlternativeTransliteration, Shtejnberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shtejnberg
Context triple: [Shteynberg, hasAlternativeTransliteration, Shtejnberg]
  • A. Shteynberg chosen
    Shteynberg is a variant spelling of the Jewish surname Steinberg, commonly found among Ashkenazi families.
  • B. Steffenberg
    Steffenberg is a small municipality in the Marburg-Biedenkopf district of Hesse, Germany, known for its rural character and scenic surroundings.
  • C. Steinenberg
    Steinenberg is a central street in Basel, Switzerland, known for its proximity to Barfüsserplatz and its role as a key urban thoroughfare.
  • D. Hirschstein
    Hirschstein is a small municipality in the German state of Saxony, situated within the broader Leipzig metropolitan region.
  • E. Šternberk
    Šternberk is a historic town in the Olomouc Region of the Czech Republic, known for its medieval castle and well-preserved old town.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54d013748819099126e27e7ec543d completed April 19, 2026, 9:45 p.m.
Created at: April 10, 2026, 11:45 a.m.