Triple

T12780126
Position Surface form Disambiguated ID Type / Status
Subject Chūō, Tokyo E305484 entity
Predicate contains P35 FINISHED
Object Shinkawa E642515 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: Shinkawa | Statement: [Chūō, Tokyo, contains, Shinkawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shinkawa
Context triple: [Chūō, Tokyo, contains, Shinkawa]
  • A. Shinkawa chosen
    Shinkawa is a district within Chūō ward in central Tokyo, Japan, known for its mix of commercial buildings, offices, and residential areas near the Sumida River.
  • B. Ichikawa
    Ichikawa is a city in Chiba Prefecture, Japan, located just east of Tokyo and known as a residential and commercial hub within the Greater Tokyo Area.
  • C. Iwatsuki
    Iwatsuki is a former city in Saitama Prefecture, Japan, now a ward of Saitama City known historically for its traditional doll-making industry.
  • D. Wakatsuki
    Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
  • E. Wakamatsu
    Wakamatsu is a ward in the city of Kitakyushu, Japan, known historically as a port and industrial area on the northern coast of Kyushu.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5a5680819095dcd491486d23e7 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fb168548190afb975ef60fa5f3e completed May 11, 2026, 4:48 a.m.
Created at: April 9, 2026, 5:29 p.m.