Triple

T30029135
Position Surface form Disambiguated ID Type / Status
Subject Makomanai Station E762962 entity
Predicate adjacentStationOnNambokuLine P178321 FINISHED
Object Sumikawa 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: Sumikawa Station | Statement: [Makomanai Station, adjacentStationOnNambokuLine, Sumikawa Station]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnNambokuLine
Context triple: [Makomanai Station, adjacentStationOnNambokuLine, Sumikawa Station]
  • A. adjacentStationOnNambuLine
    Indicates that one station is directly next to another station along the Nambu railway line, with no other stations in between.
  • B. adjacentStationOnHanshinNambaLine
    Indicates that one station is directly next to another station along the Hanshin Namba railway line, with no other stations in between.
  • C. adjacentStationOnJRKyotoLine
    Indicates that one station is directly next to another station along the JR Kyoto railway line, with no other stations in between.
  • D. adjacentStationOnHibiyaLine
    Indicates that one station is directly next to another station along the Hibiya Line, with no other stations in between.
  • E. adjacentStationOnHankyuKyotoLine
    Indicates that one station is directly next to another station along the Hankyu Kyoto 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_69f2246ee6e48190b69e837b913b398a completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f70e8755a48190931eaa77946f9460 completed May 3, 2026, 8:59 a.m.
PD Predicate disambiguation batch_69f70abc00848190a1c3f495ef6c8dc6 completed May 3, 2026, 8:43 a.m.
PDg Predicate description generation batch_69f70e854b9c8190a3416e2189e17742 completed May 3, 2026, 8:59 a.m.
Created at: April 29, 2026, 6:49 p.m.