Triple

T1024738
Position Surface form Disambiguated ID Type / Status
Subject Osnabrück E22113 entity
Predicate twinCity P1072 FINISHED
Object Matsubara E10795 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: Matsubara | Statement: [Osnabrück, twinCity, Matsubara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matsubara
Context triple: [Osnabrück, twinCity, Matsubara]
  • A. Matsubara chosen
    Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
  • B. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • C. Sakae
    Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
  • D. Fujiidera
    Fujiidera is a city in Osaka Prefecture, Japan, known for its historical temples and role as a residential and commercial suburb in the Kansai region.
  • E. Shimamoto
    Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7e28df08190b5be7794442a6f21 completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1c8c828481909013039009446dc0 completed March 8, 2026, 6:51 a.m.
Created at: March 1, 2026, 7:41 p.m.