Triple

T3478601
Position Surface form Disambiguated ID Type / Status
Subject Yotsubashi Line E73434 entity
Predicate hasStation P35 FINISHED
Object Kita-Kagaya Station
Kita-Kagaya Station is a subway station in Osaka, Japan, serving passengers on the Osaka Metro Yotsubashi Line.
E733937 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: Kita-Kagaya Station | Statement: [Yotsubashi Line, hasStation, Kita-Kagaya Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kita-Kagaya Station
Context triple: [Yotsubashi Line, hasStation, Kita-Kagaya Station]
  • A. Kita-Toda Station
    Kita-Toda Station is a railway station in Toda, Saitama Prefecture, Japan, operated by JR East.
  • B. Kitaōji Station
    Kitaōji Station is an underground metro station in Kyoto, Japan, serving the Kyoto Municipal Subway Karasuma Line and acting as a key transit hub in the city's northern area.
  • C. Kita-Yono Station
    Kita-Yono Station is a railway station in Saitama, Japan, operated by JR East on the Saikyo Line and serving commuters in the surrounding urban area.
  • D. 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.
  • E. Shindaita Station
    Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira 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: Kita-Kagaya Station
Triple: [Yotsubashi Line, hasStation, Kita-Kagaya Station]
Generated description
Kita-Kagaya Station is a subway station in Osaka, Japan, serving passengers on the Osaka Metro Yotsubashi Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kita-Kagaya Station
Target entity description: Kita-Kagaya Station is a subway station in Osaka, Japan, serving passengers on the Osaka Metro Yotsubashi Line.
  • A. Kita-Toda Station
    Kita-Toda Station is a railway station in Toda, Saitama Prefecture, Japan, operated by JR East.
  • B. Kitaōji Station
    Kitaōji Station is an underground metro station in Kyoto, Japan, serving the Kyoto Municipal Subway Karasuma Line and acting as a key transit hub in the city's northern area.
  • C. Kita-Yono Station
    Kita-Yono Station is a railway station in Saitama, Japan, operated by JR East on the Saikyo Line and serving commuters in the surrounding urban area.
  • D. 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.
  • E. Shindaita Station
    Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb5ca73c81908256e3339a3a6f9f completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1c351f848190a1f91a09f7319a01 completed April 2, 2026, 7:35 a.m.
NEDg Description generation batch_69ce1e6e83008190a4c2f796928882c1 completed April 2, 2026, 7:44 a.m.
NED2 Entity disambiguation (via description) batch_69ce1f3d46f48190be7b494e808a70f9 completed April 2, 2026, 7:48 a.m.
Created at: March 8, 2026, 3:17 p.m.