Triple

T37609478
Position Surface form Disambiguated ID Type / Status
Subject Shin-Osaka Station E935746 entity
Predicate adjacentStationOnMidosujiLine P193757 FINISHED
Object Nishinakajima-Minamigata 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: Nishinakajima-Minamigata Station | Statement: [Shin-Osaka Station, adjacentStationOnMidosujiLine, Nishinakajima-Minamigata Station]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnMidosujiLine
Context triple: [Shin-Osaka Station, adjacentStationOnMidosujiLine, Nishinakajima-Minamigata Station]
  • A. adjacentStationOnHibiyaLine
    Indicates that one station is directly next to another station along the Hibiya Line, with no other stations in between.
  • B. adjacentStationOnMeijoLine
    Indicates that one station is directly next to another station along the Meijo railway line.
  • 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. adjacentStationOnJRTōzaiLine
    Indicates that one station is directly next to another station along the JR Tōzai 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_69f76ed0a85481909254a8a89090c826 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fd509e6bc08190b263923c2f40fea3 completed May 8, 2026, 2:55 a.m.
PD Predicate disambiguation batch_69fd4fd1a58881909d4b84de1b24e380 completed May 8, 2026, 2:52 a.m.
PDg Predicate description generation batch_69fd509cdc5c8190a5f2c451bc0d0b25 completed May 8, 2026, 2:55 a.m.
Created at: May 3, 2026, 4:18 p.m.