Triple

T21827584
Position Surface form Disambiguated ID Type / Status
Subject Awaji Station E538894 entity
Predicate hasAdjacentStationOnHankyuSenriLine P145818 FINISHED
Object Kandai-mae 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: Kandai-mae Station | Statement: [Awaji Station, hasAdjacentStationOnHankyuSenriLine, Kandai-mae Station]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAdjacentStationOnHankyuSenriLine
Context triple: [Awaji Station, hasAdjacentStationOnHankyuSenriLine, Kandai-mae Station]
  • A. hasAdjacentStationOnShinetsuMainLine
    Indicates that one station is directly next to another station along the Shinetsu Main Line.
  • B. hasAdjacentStationOnFukutoshinLine
    Indicates that one station is directly next to another station along the Fukutoshin railway line.
  • C. hasAdjacentStationOnYurakuchoLine
    Indicates that one station is directly next to another station along the Yurakucho Line.
  • D. hasAdjacentStationOnJoetsuShinkansen
    Indicates that one station is directly next to another station along the Jōetsu Shinkansen line.
  • 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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f09133718081909faa67c3721aed52 completed April 28, 2026, 10:51 a.m.
PD Predicate disambiguation batch_69e6be815a108190be81d7c987d0c0d6 completed April 21, 2026, 12:02 a.m.
PDg Predicate description generation batch_69e6c670ee608190b9cfdc09de74f0de completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 6:54 p.m.