Triple

T2480174
Position Surface form Disambiguated ID Type / Status
Subject Amagasaki Station E55794 entity
Predicate adjacentTo P224 FINISHED
Object Tsukamoto Station E58829 NE FINISHED

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: Tsukamoto Station | Statement: [Amagasaki Station, adjacentTo, Tsukamoto Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsukamoto Station
Context triple: [Amagasaki Station, adjacentTo, Tsukamoto Station]
  • A. Tsukamoto Station chosen
    Tsukamoto Station is a railway station in Osaka, Japan, served by JR West and located just west of the major Osaka Station on the Tōkaidō Main Line (JR Kobe Line).
  • B. Shindaita Station
    Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
  • C. Shinsen Station
    Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
  • D. Shōji Station
    Shōji Station is a railway station in Osaka, Japan, serving passengers on the Osaka Metro network.
  • E. Takaido Station
    Takaido Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and providing local commuter access within the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd160a9708190b28d2f5538ea129a completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69c20ce295f081909046cbc278ee6183 completed March 24, 2026, 4:02 a.m.
Created at: March 6, 2026, 9:45 p.m.