Triple

T23676744
Position Surface form Disambiguated ID Type / Status
Subject Miyahara Station E584898 entity
Predicate adjacentStationOnTakasakiLine P152956 FINISHED
Object Ōmiya 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: Ōmiya Station | Statement: [Miyahara Station, adjacentStationOnTakasakiLine, Ōmiya Station]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnTakasakiLine
Context triple: [Miyahara Station, adjacentStationOnTakasakiLine, Ōmiya Station]
  • A. adjacentStationOnTsukubaExpress
    Indicates that one station is directly next to another station along the Tsukuba Express railway line, with no other stations in between.
  • B. adjacentStationOnTsurumaiLine
    Indicates that one station is directly next to another station along the Tsurumai railway line, with no other stations in between.
  • C. adjacentStationOnTanimachiLine
    Indicates that one station is directly next to another station along the Tanimachi subway line.
  • D. adjacentStationOnTokaidoShinkansen
    Indicates that one station is directly next to another along the Tokaido Shinkansen line, with no other station 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_69e24901f7c08190909fd727632e823d completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b4f40c9081908ef0cddb6f0392da completed April 29, 2026, 7:36 a.m.
PD Predicate disambiguation batch_69f118dd13008190a8799b4e9cadbd79 completed April 28, 2026, 8:30 p.m.
PDg Predicate description generation batch_69f121cc494081908c987adfcde89b0e completed April 28, 2026, 9:08 p.m.
Created at: April 17, 2026, 6:51 p.m.