Triple

T19968110
Position Surface form Disambiguated ID Type / Status
Subject Kanto Plain E479995 entity
Predicate containsCity P294 FINISHED
Object Saitama 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: Saitama | Statement: [Kanto Plain, containsCity, Saitama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saitama
Context triple: [Kanto Plain, containsCity, Saitama]
  • A. Saitama
    Saitama is a major city in Japan and the capital of Saitama Prefecture, located just north of Tokyo and known as a commercial and residential hub in the Greater Tokyo Area.
  • B. Toda, Saitama
    Toda, Saitama is a city in Saitama Prefecture, Japan, located just north of Tokyo and known as a residential and commuter town within the Greater Tokyo metropolitan area.
  • C. Saitama City chosen
    Saitama City is the capital of Saitama Prefecture in Japan, forming part of the Greater Tokyo metropolitan area and serving as a major commercial and administrative center.
  • D. Wako, Saitama
    Wako, Saitama is a city in Saitama Prefecture, Japan, located on the northern outskirts of Tokyo and known as a residential and commuter town within the Greater Tokyo Area.
  • E. Hannō, Saitama
    Hannō is a city in southwestern Saitama Prefecture, Japan, known for its forested hills, outdoor recreation areas, and role as a residential and commercial hub within the Greater Tokyo region.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc6b0208190b1ae30be95712326 completed April 20, 2026, 5 p.m.
Created at: April 10, 2026, 1:54 p.m.