Triple

T14891925
Position Surface form Disambiguated ID Type / Status
Subject Roth E359772 entity
Predicate hasVariant P455 FINISHED
Object Rothen E1042132 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: Rothen | Statement: [Roth, hasVariant, Rothen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rothen
Context triple: [Roth, hasVariant, Rothen]
  • A. Rothen chosen
    Rothen is a German surname variant of "Roth," typically associated with families of German-speaking origin.
  • B. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • C. Roderesch
    Roderesch is a small village in the municipality of Noordenveld in the province of Drenthe in the northeastern Netherlands.
  • D. Hohenroth
    Hohenroth is a municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural setting near the Rhön Mountains.
  • E. Raudten
    Raudten is a historical town in Silesia, now known as Rudna in modern-day Poland.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f883288190af602633fa7d6860 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b65ac5c81908691de1161d07de0 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 2:10 a.m.