Triple

T16154464
Position Surface form Disambiguated ID Type / Status
Subject Nijubashi E392001 entity
Predicate alsoKnownAs P39 FINISHED
Object Nijūbashi E1183896 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: Nijūbashi | Statement: [Nijubashi, alsoKnownAs, Nijūbashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nijūbashi
Context triple: [Nijubashi, alsoKnownAs, Nijūbashi]
  • A. Nijūbashi chosen
    Nijūbashi is the iconic pair of bridges at the main entrance to Tokyo's Imperial Palace, famous for their elegant arches reflected in the surrounding moat.
  • B. Nipponbashi
    Nipponbashi is a district in Osaka, Japan, known for its electronics shops, anime and manga stores, and otaku culture, often compared to Tokyo’s Akihabara.
  • C. Nishi-Tobecho
    Nishi-Tobecho is a notable neighborhood within Nishi Ward in Yokohama, Japan, known as part of the city’s central urban area.
  • D. Hatchōbori
    Hatchōbori is a district in Tokyo’s Chūō ward known for its mix of traditional neighborhoods, business offices, and convenient access to central Tokyo.
  • E. Kyōbashi
    Kyōbashi is a historic commercial and business district in central Tokyo, located between Tokyo Station and the Ginza area.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e57e95c8190ae4ed641be974ce5 completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007d9849a08190a575f19e816e6df2 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:01 a.m.