Triple

T13040299
Position Surface form Disambiguated ID Type / Status
Subject Margrave of Meissen E327173 entity
Predicate hasCapital P204 FINISHED
Object Meissen E74716 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: Meissen | Statement: [Margrave of Meissen, hasCapital, Meissen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meissen
Context triple: [Margrave of Meissen, hasCapital, Meissen]
  • A. Meissen chosen
    Meissen is a historic town in eastern Germany renowned for its medieval architecture and as the birthplace of European hard-paste porcelain.
  • B. Glashütten
    Glashütten is a small municipality in the Hochtaunus district of Hesse, Germany, known for its scenic location in the Taunus mountains and its residential, forested character.
  • C. Glashütte
    Glashütte is a former municipality in northern Germany that was incorporated into the town of Norderstedt.
  • D. Meissen district
    Meissen district is an administrative district in the Free State of Saxony in eastern Germany, known for its historic towns, wine-growing areas, and proximity to the city of Dresden.
  • E. City of Meissen
    The City of Meissen is a historic town in Saxony, Germany, renowned as the birthplace of European hard-paste porcelain and noted for its medieval architecture and hilltop cathedral.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9804d8e3081909584c93df099859a completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5fbaea8819080ca249159d6c125 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:55 p.m.