Triple

T15248278
Position Surface form Disambiguated ID Type / Status
Subject Shinagawa-juku E364443 entity
Predicate connectedTo P37 FINISHED
Object Nihonbashi E241509 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: Nihonbashi | Statement: [Shinagawa-juku, connectedTo, Nihonbashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nihonbashi
Context triple: [Shinagawa-juku, connectedTo, Nihonbashi]
  • A. Nihonbashi chosen
    Nihonbashi is a historic commercial district in central Tokyo known for its iconic bridge, traditional merchants, and major financial and retail centers.
  • B. Kyōbashi
    Kyōbashi is a historic commercial and business district in central Tokyo, located between Tokyo Station and the Ginza area.
  • C. 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.
  • D. Shinbashi
    Shinbashi is a historic commercial and entertainment district in central Tokyo known as a major business hub and gateway between the Ginza area and the Shiodome skyscraper complex.
  • E. Nihonbashi, Tokyo
    Nihonbashi, Tokyo is a historic commercial district in central Tokyo known as a traditional financial and retail hub, blending old merchant streets with major department stores and modern office towers.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f4f9d48190b96a7e0c6993cd69 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c2efb148190a2e6c0811f2afb5f completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 3:13 a.m.