Triple

T17009808
Position Surface form Disambiguated ID Type / Status
Subject Jiyugaoka Station E412667 entity
Predicate adjacentStationOnTokyuOimachiLine P125504 FINISHED
Object Ookayama Station 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: Ookayama Station | Statement: [Jiyugaoka Station, adjacentStationOnTokyuOimachiLine, Ookayama Station]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnTokyuOimachiLine
Context triple: [Jiyugaoka Station, adjacentStationOnTokyuOimachiLine, Ookayama Station]
  • A. adjacentStationOnTokyuToyokoLine
    Indicates that one station is directly next to another station along the Tokyu Toyoko railway line.
  • B. adjacentStationOnSaikyoLine
    Indicates that one station is directly next to another station along the Saikyo railway line, with no other stations in between.
  • C. adjacentStationOnMusashinoLine
    Indicates that one station is directly next to another station along the Musashino railway line.
  • D. adjacentStationOnJRKyotoLine
    Indicates that one station is directly next to another station along the JR Kyoto railway line, with no other stations in between.
  • E. adjacentStationOnKeioInokashiraLine
    Indicates that one station is directly next to another station along the Keio Inokashira railway line, with no other stations in between.
  • F. None of above. chosen

Provenance (4 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47a8444819081f1262eb7dbda40 completed April 18, 2026, 6:59 p.m.
PD Predicate disambiguation batch_69e35d5be7f48190af9db67a1e23850f completed April 18, 2026, 10:30 a.m.
PDg Predicate description generation batch_69e3753f93c88190808fec5692f66699 completed April 18, 2026, 12:12 p.m.
Created at: April 10, 2026, 5:33 a.m.