Triple

T21234948
Position Surface form Disambiguated ID Type / Status
Subject Art Tower Mito E523318 entity
Predicate locatedIn P40 FINISHED
Object Mito NE NERFINISHED

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: Mito | Statement: [Art Tower Mito, locatedIn, Mito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mito
Context triple: [Art Tower Mito, locatedIn, Mito]
  • A. Mito chosen
    Mito is the capital city of Ibaraki Prefecture in Japan’s Kantō region, known for its historic Kairakuen Garden and cultural heritage.
  • B. Mounichion
    Mounichion was an ancient Athenian month in the Attic calendar, roughly corresponding to parts of April and May, associated with various religious festivals and seasonal observances.
  • C. Mijas
    Mijas is a picturesque municipality in the province of Málaga in southern Spain, known for its whitewashed village, coastal resorts, and location along the Costa del Sol.
  • D. Eusa
    Eusa is the Breton name for Ushant, an island off the western tip of Brittany in France known for its rugged coastline and maritime heritage.
  • E. Mitino
    Mitino is a Moscow Metro station serving the Mitino District in the northwestern part of the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7351f0e988190bb77b598cb8a9532 completed April 21, 2026, 8:28 a.m.
Created at: April 16, 2026, 3:46 p.m.