Triple

T3956866
Position Surface form Disambiguated ID Type / Status
Subject Amagasaki E85802 entity
Predicate railwayStation P918 FINISHED
Object Daimotsu Station
Daimotsu Station is a railway station located in Amagasaki, Hyōgo Prefecture, Japan, serving local commuter rail lines.
E849154 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: Daimotsu Station | Statement: [Amagasaki, railwayStation, Daimotsu Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daimotsu Station
Context triple: [Amagasaki, railwayStation, Daimotsu Station]
  • A. Shindaita Station
    Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
  • B. Domyoji Station
    Domyoji Station is a railway station in Fujiidera, Osaka Prefecture, Japan, serving as a local transit hub on regional rail lines.
  • C. Itami Station
    Itami Station is a railway station in Itami, Hyōgo Prefecture, Japan, operated by JR West and serving as a stop on the Fukuchiyama (JR Takarazuka) Line.
  • D. Shinsen Station
    Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
  • E. Sannomiya Station
    Sannomiya Station is a major railway and transportation hub in central Kobe, Japan, serving multiple train and subway lines and providing access to the city's main commercial and tourist areas.
  • 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: Daimotsu Station
Triple: [Amagasaki, railwayStation, Daimotsu Station]
Generated description
Daimotsu Station is a railway station located in Amagasaki, Hyōgo Prefecture, Japan, serving local commuter rail lines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Daimotsu Station
Target entity description: Daimotsu Station is a railway station located in Amagasaki, Hyōgo Prefecture, Japan, serving local commuter rail lines.
  • A. Shindaita Station
    Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
  • B. Domyoji Station
    Domyoji Station is a railway station in Fujiidera, Osaka Prefecture, Japan, serving as a local transit hub on regional rail lines.
  • C. Itami Station
    Itami Station is a railway station in Itami, Hyōgo Prefecture, Japan, operated by JR West and serving as a stop on the Fukuchiyama (JR Takarazuka) Line.
  • D. Shinsen Station
    Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
  • E. Sannomiya Station
    Sannomiya Station is a major railway and transportation hub in central Kobe, Japan, serving multiple train and subway lines and providing access to the city's main commercial and tourist areas.
  • 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_69d5c75980e4819080f486b454f211a2 completed April 8, 2026, 3:11 a.m.
NEDg Description generation batch_69d5c7b2997c8190935c9be972b3ada8 completed April 8, 2026, 3:12 a.m.
NED2 Entity disambiguation (via description) batch_69d5c7ff6dc48190b9bbd1beebc7a17f completed April 8, 2026, 3:14 a.m.
Created at: March 9, 2026, 3:31 p.m.