Triple

T1152045
Position Surface form Disambiguated ID Type / Status
Subject JR Saikyo Line E23696 entity
Predicate terminus P388 FINISHED
Object Osaki Station E147524 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: Osaki Station | Statement: [JR Saikyo Line, terminus, Osaki Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osaki Station
Context triple: [JR Saikyo Line, terminus, Osaki Station]
  • A. Osaki Station chosen
    Osaki Station is a major railway hub in Tokyo, Japan, serving multiple JR East lines and connecting central Tokyo with surrounding suburban areas.
  • B. Urawa Station
    Urawa Station is a major railway hub in Saitama, Japan, connecting multiple JR East lines and serving as an important commuter gateway to central Tokyo.
  • C. Otsuka Station
    Otsuka Station is a railway station in Tokyo, Japan, served by JR East and known for its location on the busy Yamanote Line loop.
  • D. Komagome Station
    Komagome Station is a railway station in Tokyo, Japan, served by JR East and the Tokyo Metro, providing access to the residential and commercial areas of the Komagome district.
  • E. Kanda Station
    Kanda Station is a major railway station in central Tokyo that serves multiple JR East and Tokyo Metro lines and provides convenient access to the city's business districts.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc8d2dd8819081c779d408c2651d completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f0a6f588190a8a61ab47a858118 completed March 12, 2026, 12:55 a.m.
Created at: March 1, 2026, 7:44 p.m.