Triple

T3956868
Position Surface form Disambiguated ID Type / Status
Subject Amagasaki E85802 entity
Predicate railwayStation P918 FINISHED
Object Deyashiki Station
Deyashiki Station is a passenger railway station located in Amagasaki, Hyōgo Prefecture, Japan.
 E849200 NE FINISHED

How this triple was built (4 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: Deyashiki Station | Statement: [Amagasaki, railwayStation, Deyashiki Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Deyashiki Station
Context triple: [Amagasaki, railwayStation, Deyashiki Station]
  • A. Shinsen Station
    Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
  • B. Shindaita Station
    Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
  • C. Homachi Station
    Homachi Station is a major underground railway station in central Osaka, Japan, serving as an important interchange hub on the Osaka Metro network.
  • D. Osakako Station
    Osakako Station is a railway station in Osaka, Japan, serving the Osaka Metro Chūō Line and providing access to the Osaka Bay area’s attractions.
  • E. Kishinosato Station
    Kishinosato Station is a railway station in Osaka, Japan, served by the Osaka Metro Yotsubashi Line.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Deyashiki Station
Triple: [Amagasaki, railwayStation, Deyashiki Station]
Generated description
Deyashiki Station is a passenger railway station located in Amagasaki, Hyōgo Prefecture, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Deyashiki Station
Target entity description: Deyashiki Station is a passenger railway station located in Amagasaki, Hyōgo Prefecture, Japan.
  • A. Shinsen Station
    Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
  • B. Shindaita Station
    Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
  • C. Homachi Station
    Homachi Station is a major underground railway station in central Osaka, Japan, serving as an important interchange hub on the Osaka Metro network.
  • D. Osakako Station
    Osakako Station is a railway station in Osaka, Japan, serving the Osaka Metro Chūō Line and providing access to the Osaka Bay area’s attractions.
  • E. Kishinosato Station
    Kishinosato Station is a railway station in Osaka, Japan, served by the Osaka Metro Yotsubashi Line.
  • F. None of above. chosen

Provenance (5 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef95bbb9c8190bd64c5b7ea2f341a completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d5e25dcb108190aaed79d8c64361a8 completed April 8, 2026, 5:06 a.m.
NEDg Description generation batch_69d5e444bce081909ffb98def6d8acc3 completed April 8, 2026, 5:14 a.m.
NED2 Entity disambiguation (via description) batch_69d5e5e817f481908a05f6968e973e2c completed April 8, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:31 p.m.