Triple

T10278829
Position Surface form Disambiguated ID Type / Status
Subject Itabashi, Tokyo E241039 entity
Predicate borderedBy P224 FINISHED
Object Toda, Saitama E705547 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: Toda, Saitama | Statement: [Itabashi, Tokyo, borderedBy, Toda, Saitama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toda, Saitama
Context triple: [Itabashi, Tokyo, borderedBy, Toda, Saitama]
  • A. Toda, Saitama chosen
    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.
  • B. Niiza, Saitama
    Niiza, Saitama is a suburban city in Saitama Prefecture, Japan, located on the northern outskirts of Tokyo and known as a residential and educational hub within the Greater Tokyo Area.
  • C. Itami, Saitama
    Itami, Saitama is a locality in Saitama Prefecture, Japan, situated on the border with Tokyo’s Nerima ward.
  • 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. Saitama Prefecture
    Saitama Prefecture is a landlocked administrative region in the Kantō area of Japan, just north of Tokyo, known for its large commuter population, industrial centers, and cultural sites.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d29fdf2c819099dd581deac08cf2 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71cf7f644819085dd687b286004ad completed April 9, 2026, 3:28 a.m.
Created at: April 6, 2026, 11:38 a.m.