Triple

T10814228
Position Surface form Disambiguated ID Type / Status
Subject Hanno E255182 entity
Predicate borderedBy P224 FINISHED
Object Sayama E347782 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: Sayama | Statement: [Hanno, borderedBy, Sayama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sayama
Context triple: [Hanno, borderedBy, Sayama]
  • A. Sayama chosen
    Sayama is a city in central Saitama Prefecture, Japan, known for its tea production and suburban residential character within the Greater Tokyo area.
  • B. Takashima
    Takashima is a lakeside city in western Shiga Prefecture, Japan, known for its scenic location along Lake Biwa and surrounding mountains.
  • C. Takashima
    Takashima is a prominent commercial and waterfront district in Nishi-ku, Yokohama, known for major shopping complexes and modern urban development.
  • D. Kaminoshima
    Kaminoshima is one of the uninhabited, forested islets of the Tomogashima archipelago in Wakayama Prefecture, Japan, known for its coastal scenery and wartime ruins.
  • E. Omishima
    Omishima is a scenic island in Japan’s Seto Inland Sea, known for its cycling route on the Shimanami Kaido, historic Oyamazumi Shrine, and coastal landscapes.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733ece4488190b553a66c4b5188bc completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69e623a9711081908eac4238a717305c completed April 20, 2026, 1:01 p.m.
Created at: April 8, 2026, 9:18 p.m.