Triple

T16154332
Position Surface form Disambiguated ID Type / Status
Subject Nakano, Tokyo, Japan E391998 entity
Predicate hasWardNumber P14475 FINISHED
Object Nakano-ku NE NERFINISHED

How this triple was built (3 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: Nakano-ku | Statement: [Nakano, Tokyo, Japan, hasWardNumber, Nakano-ku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nakano-ku
Context triple: [Nakano, Tokyo, Japan, hasWardNumber, Nakano-ku]
  • A. Nakano Ward chosen
    Nakano Ward is a special ward in western Tokyo, Japan, known for its dense residential neighborhoods, shopping streets, and subculture hubs like Nakano Broadway.
  • B. Bunkyō-ku
    Bunkyō-ku is a central Tokyo ward known for its universities, cultural institutions, and quiet residential neighborhoods.
  • C. Takatsu-ku
    Takatsu-ku is one of the administrative wards of Kawasaki City in Kanagawa Prefecture, Japan, known as a residential and commercial area within the Greater Tokyo metropolitan region.
  • D. Suminoe-ku
    Suminoe-ku is one of the 24 wards of Osaka, Japan, known for its coastal location, port facilities, and large-scale residential and commercial developments.
  • E. Toshima ward
    Toshima ward is a special ward in Tokyo, Japan, known for its major commercial and entertainment hub Ikebukuro and its dense urban residential neighborhoods.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWardNumber
Context triple: [Nakano, Tokyo, Japan, hasWardNumber, Nakano-ku]
  • A. containsWard chosen
    Indicates that one entity includes, encompasses, or has within it a ward (such as a district, division, or dependent person) as part of its scope or responsibility.
  • B. isWardOf
    Indicates that one entity is under the guardianship, protection, or legal care of another entity as their ward.
  • C. numberOfWards
    Indicates the quantitative relationship specifying how many wards are associated with a given entity.
  • D. hasUnitNumber
    Indicates that an entity is associated with a specific unit identifier or number within a larger building, complex, or organizational structure.
  • E. hasNeighbouringWard
    Indicates that one ward is directly adjacent to or borders another ward geographically.
  • F. None of above.

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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e57e95c8190ae4ed641be974ce5 completed April 17, 2026, 11:49 a.m.
PD Predicate disambiguation batch_69e1828abb608190a99d86bce1d77de2 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 5:01 a.m.