Triple

T18610646
Position Surface form Disambiguated ID Type / Status
Subject Shteynberg E454881 entity
Predicate hasEtymologicalElement P5801 FINISHED
Object Stein 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: Stein | Statement: [Shteynberg, hasEtymologicalElement, Stein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stein
Context triple: [Shteynberg, hasEtymologicalElement, Stein]
  • A. Stein chosen
    Stein is a German-origin surname borne by numerous notable individuals across fields such as exploration, philosophy, literature, and politics.
  • B. Stein
    Stein is a municipality in the Dutch province of Limburg, known for its industrial heritage and location along the Meuse River near the Belgian border.
  • C. Stein (SG)
    Stein (SG) is a municipality in the canton of St. Gallen in northeastern Switzerland, known for its rural Alpine setting and proximity to the Toggenburg region.
  • D. Steinman
    Steinman is a surname most notably associated with David B. Steinman, an influential American civil engineer and bridge designer.
  • E. Stange
    Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
  • 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.