Triple

T6547069
Position Surface form Disambiguated ID Type / Status
Subject Ueno E151036 entity
Predicate locatedIn P40 FINISHED
Object Taitō E34802 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: Taitō | Statement: [Ueno, locatedIn, Taitō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taitō
Context triple: [Ueno, locatedIn, Taitō]
  • A. Taitō chosen
    Taitō is a special ward in central Tokyo known for its historic districts, traditional temples, and major cultural attractions such as Ueno Park and Asakusa.
  • B. Task Force 64
    Task Force 64 was a U.S. Navy surface combat task force in the Pacific Theater during World War II, noted for its role in night battles such as those off Guadalcanal.
  • C. Tokitarō
    Tokitarō was the childhood given name of the renowned Japanese ukiyo-e artist Katsushika Hokusai.
  • D. Kato Zakros
    Kato Zakros is a coastal village and archaeological site on the eastern coast of Crete, known for the remains of a significant Minoan palace complex.
  • E. R.O.B.
    R.O.B. is a robotic accessory for the Nintendo Entertainment System designed to interact with specially programmed games as an early experiment in console-compatible robotics.
  • 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_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6adf00aa48190a86a9ad4795363d9 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d54e11fc81909aa135d7c0f2c193 completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:50 p.m.