Triple

T14433089
Position Surface form Disambiguated ID Type / Status
Subject Markgraf von Mähren E357883 entity
Predicate titleTerritorialDesignation P14731 FINISHED
Object Mähren E35412 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: Mähren | Statement: [Markgraf von Mähren, titleTerritorialDesignation, Mähren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mähren
Context triple: [Markgraf von Mähren, titleTerritorialDesignation, Mähren]
  • A. Moravia chosen
    Moravia is a historical region in the eastern part of the Czech Republic, known for its distinct cultural heritage, wine production, and major cities such as Brno and Olomouc.
  • B. Moravia
    Moravia is a canton in Costa Rica known for its suburban character and proximity to the capital city of San José.
  • C. Schlettau
    Schlettau is a small locality in the town of Wettin-Löbejün in the German state of Saxony-Anhalt.
  • D. Mitterau
    Mitterau is a district of the Austrian city of Krems an der Donau, located in the state of Lower Austria.
  • E. Schwarzenberg
    Schwarzenberg is the noble family name of a prominent Central European princely house historically influential in Austrian and Bohemian politics and military affairs.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91471a648190adb7b283a6a85c3e completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8aa705e08190bff1ab4125bd773f completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:18 a.m.