Triple

T11685011
Position Surface form Disambiguated ID Type / Status
Subject Seibu Railway E277715 entity
Predicate servesDestination P2066 FINISHED
Object Sayama area 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 area | Statement: [Seibu Railway, servesDestination, Sayama area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sayama area
Context triple: [Seibu Railway, servesDestination, Sayama area]
  • A. Miyazu area
    The Miyazu area is a coastal region in northern Kyoto Prefecture, Japan, known as a gateway to the scenic Amanohashidate sandbar and surrounding seaside landscapes.
  • B. Tokuyama Bay area
    Tokuyama Bay area is a coastal region in Japan that forms part of the scenic and ecologically rich Seto Inland Sea coastline within Setonaikai National Park.
  • C. 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.
  • D. Shimaya area
    Shimaya area is a district within Osaka’s Konohana Ward known for encompassing major attractions such as Universal Studios Japan and large-scale commercial and entertainment facilities.
  • E. Sakishima (Nanko) area
    The Sakishima (Nanko) area is a waterfront district in Osaka known for its modern business centers, exhibition halls, and entertainment facilities.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a463f6448190a4c8e1651a2bd905 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1433be908190b2ac887655a6c85a completed April 27, 2026, 7:45 a.m.
Created at: April 8, 2026, 9:40 p.m.