Triple

T21234967
Position Surface form Disambiguated ID Type / Status
Subject Art Tower Mito E523318 entity
Predicate ownedBy P347 FINISHED
Object City of 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: City of Mito | Statement: [Art Tower Mito, ownedBy, City of Mito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Mito
Context triple: [Art Tower Mito, ownedBy, City of Mito]
  • A. City of Mito chosen
    City of Mito is the capital of Ibaraki Prefecture in Japan, known as a regional cultural center and administrative hub.
  • B. Nagaoka-kyō
    Nagaoka-kyō was an ancient Japanese imperial capital established in the late 8th century, serving briefly as the political center before the court moved to Heian-kyō (Kyoto).
  • C. City of Naha
    The City of Naha is the capital and largest city of Okinawa Prefecture in Japan, known as a historic Ryukyuan cultural center and major regional port.
  • D. Tomioka
    Tomioka is a Japanese surname borne by various notable individuals in fields such as politics, sports, and the arts.
  • E. Goshogawara
    Goshogawara is a city in northern Japan known for its traditional Tachineputa Festival featuring towering illuminated floats.
  • 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.