Triple

T2828184
Position Surface form Disambiguated ID Type / Status
Subject Kyoto Municipal Subway E54972 entity
Predicate hasStation P35 FINISHED
Object Gojo Station
Gojo Station is an underground metro station on the Kyoto Municipal Subway network in Kyoto, Japan.
E663142 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: Gojo Station | Statement: [Kyoto Municipal Subway, hasStation, Gojo Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gojo Station
Context triple: [Kyoto Municipal Subway, hasStation, Gojo Station]
  • A. Imadegawa Station
    Imadegawa Station is an underground metro station on Kyoto’s subway network serving the area around Doshisha University and the Kyoto Imperial Palace.
  • B. Hatagaya Station
    Hatagaya Station is a railway station in Shibuya, Tokyo, serving the Keio New Line as a local transit hub for the Hatagaya neighborhood.
  • C. Shindaita Station
    Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
  • D. Oimachi Station
    Oimachi Station is a major railway hub in Tokyo’s Shinagawa ward, serving multiple train and subway lines and connecting local neighborhoods with central and suburban areas of the city.
  • E. Daikokucho Station
    Daikokucho Station is a railway station in Osaka, Japan, serving as a stop on the Osaka Metro network and providing convenient access to the city’s central districts.
  • 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: Gojo Station
Triple: [Kyoto Municipal Subway, hasStation, Gojo Station]
Generated description
Gojo Station is an underground metro station on the Kyoto Municipal Subway network in Kyoto, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gojo Station
Target entity description: Gojo Station is an underground metro station on the Kyoto Municipal Subway network in Kyoto, Japan.
  • A. Imadegawa Station
    Imadegawa Station is an underground metro station on Kyoto’s subway network serving the area around Doshisha University and the Kyoto Imperial Palace.
  • B. Hatagaya Station
    Hatagaya Station is a railway station in Shibuya, Tokyo, serving the Keio New Line as a local transit hub for the Hatagaya neighborhood.
  • C. Shindaita Station
    Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
  • D. Oimachi Station
    Oimachi Station is a major railway hub in Tokyo’s Shinagawa ward, serving multiple train and subway lines and connecting local neighborhoods with central and suburban areas of the city.
  • E. Daikokucho Station
    Daikokucho Station is a railway station in Osaka, Japan, serving as a stop on the Osaka Metro network and providing convenient access to the city’s central districts.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde95d8148190bcae8b0659a5c116 completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69c81e93671481909555acbc8a712930 completed March 28, 2026, 6:31 p.m.
NEDg Description generation batch_69c81fd379cc81908b52c45fddea9870 completed March 28, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69c8209b7fa48190aea45a6b21ad8de1 completed March 28, 2026, 6:40 p.m.
Created at: March 6, 2026, 9:59 p.m.