Triple

T17125629
Position Surface form Disambiguated ID Type / Status
Subject Musashi-Kosugi Station E415585 entity
Predicate adjacentStationOnNambuLine P126196 FINISHED
Object Musashi-Nakahara 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: Musashi-Nakahara Station | Statement: [Musashi-Kosugi Station, adjacentStationOnNambuLine, Musashi-Nakahara Station]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnNambuLine
Context triple: [Musashi-Kosugi Station, adjacentStationOnNambuLine, Musashi-Nakahara Station]
  • A. adjacentStationOnYamanoteLine
    Indicates that one station is directly next to another station along the Yamanote Line, with no other stations in between.
  • B. adjacentStationOnSennichimaeLine
    Indicates that one station is directly next to another station along the Sennichimae railway line.
  • C. adjacentStationOnSaikyoLine
    Indicates that one station is directly next to another station along the Saikyo railway line, with no other stations in between.
  • D. adjacentStationOnKodomonokuniLine
    Indicates that one station is directly next to another station along the Kodomonokuni railway line.
  • E. adjacentStationOnHibiyaLine
    Indicates that one station is directly next to another station along the Hibiya 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f026ae188190b8c1e08529719878 completed April 18, 2026, 8:57 p.m.
PD Predicate disambiguation batch_69e3830192ac819091344a9e5a36c8c9 completed April 18, 2026, 1:11 p.m.
PDg Predicate description generation batch_69e3873f62108190966c4e741ebd548d completed April 18, 2026, 1:29 p.m.
Created at: April 10, 2026, 5:36 a.m.