Triple

T13588911
Position Surface form Disambiguated ID Type / Status
Subject Reichsstand E324639 entity
Predicate relatedConcept P37 FINISHED
Object Imperial Circle E325896 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: Imperial Circle | Statement: [Reichsstand, relatedConcept, Imperial Circle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imperial Circle
Context triple: [Reichsstand, relatedConcept, Imperial Circle]
  • A. Imperial Circle chosen
    The Imperial Circle was an administrative and military district of the Holy Roman Empire that grouped together various territories for purposes such as taxation, defense, and imperial governance.
  • B. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • C. Taihoku
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • D. Great Zhuz
    Great Zhuz was one of the three main tribal confederations of the Kazakh people, historically occupying the southeastern regions of modern Kazakhstan.
  • E. Chuo
    Chuo is a central ward of Tokyo known as a major commercial and financial district that includes areas like Nihonbashi, Ginza, and Tsukiji.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb055cc98819091fab597b69e5e3e completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc347b881908267455f3bdd50e8 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.