Triple

T37541777
Position Surface form Disambiguated ID Type / Status
Subject Oppama Station E933341 entity
Predicate adjacentStationOnKeikyuMainLine P193637 FINISHED
Object Keikyū Taura 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: Keikyū Taura Station | Statement: [Oppama Station, adjacentStationOnKeikyuMainLine, Keikyū Taura Station]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnKeikyuMainLine
Context triple: [Oppama Station, adjacentStationOnKeikyuMainLine, Keikyū Taura Station]
  • A. adjacentStationOnKeioLine
    Indicates that one station is directly next to another station along the Keio railway line, with no other stations in between.
  • B. adjacentStationOnKeioInokashiraLine
    Indicates that one station is directly next to another station along the Keio Inokashira railway line, with no other stations in between.
  • C. adjacentStationOnTokaidoMainLine
    Indicates that one station is directly next to another station along the Tokaido Main Line, with no other stations in between.
  • 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. adjacentStationOnKodomonokuniLine
    Indicates that one station is directly next to another station along the Kodomonokuni railway line.
  • 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_69f76ec999288190ae26ec7b6aea7046 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fd4d1854988190be093b103a681798 completed May 8, 2026, 2:40 a.m.
PD Predicate disambiguation batch_69fd4c8d1a188190897c24527337814a completed May 8, 2026, 2:38 a.m.
PDg Predicate description generation batch_69fd4d16dd20819096957c40f43cd971 completed May 8, 2026, 2:40 a.m.
Created at: May 3, 2026, 4:17 p.m.