Triple

T11285641
Position Surface form Disambiguated ID Type / Status
Subject Ōiso, Kanagawa E267178 entity
Predicate servedByStation P726 FINISHED
Object Ōiso Station
Ōiso Station is a railway station in Ōiso, Kanagawa Prefecture, Japan, operated by JR East on the Tōkaidō Main Line.
E1310415 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: Ōiso Station | Statement: [Ōiso, Kanagawa, servedByStation, Ōiso Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ōiso Station
Context triple: [Ōiso, Kanagawa, servedByStation, Ōiso Station]
  • A. Shijō Station
    Shijō Station is a major underground metro station on the Kyoto Municipal Subway network, serving as a key transit point in central Kyoto near the city’s main commercial district.
  • B. Kujo Station
    Kujo Station is a subway station in Kyoto, Japan, served by the Kyoto Municipal Subway Karasuma Line.
  • C. Kujo Station
    Kujo Station is a railway station in Osaka, Japan, served by the Hanshin Electric Railway network.
  • D. Shiyakusho Station
    Shiyakusho Station is a subway station in Nagoya, Japan, serving the city hall area and providing convenient access to Nagoya Castle.
  • E. Ogikubo Station
    Ogikubo Station is a major railway and subway hub in Suginami, Tokyo, serving as an interchange between JR East’s Chūō Line and the Tokyo Metro network.
  • 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: Ōiso Station
Triple: [Ōiso, Kanagawa, servedByStation, Ōiso Station]
Generated description
Ōiso Station is a railway station in Ōiso, Kanagawa Prefecture, Japan, operated by JR East on the Tōkaidō Main Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ōiso Station
Target entity description: Ōiso Station is a railway station in Ōiso, Kanagawa Prefecture, Japan, operated by JR East on the Tōkaidō Main Line.
  • A. Shijō Station
    Shijō Station is a major underground metro station on the Kyoto Municipal Subway network, serving as a key transit point in central Kyoto near the city’s main commercial district.
  • B. Kujo Station
    Kujo Station is a subway station in Kyoto, Japan, served by the Kyoto Municipal Subway Karasuma Line.
  • C. Kujo Station
    Kujo Station is a railway station in Osaka, Japan, served by the Hanshin Electric Railway network.
  • D. Shiyakusho Station
    Shiyakusho Station is a subway station in Nagoya, Japan, serving the city hall area and providing convenient access to Nagoya Castle.
  • E. Ogikubo Station
    Ogikubo Station is a major railway and subway hub in Suginami, Tokyo, serving as an interchange between JR East’s Chūō Line and the Tokyo Metro network.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9855e8881909bd301718cbd8ca1 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0397e71ec481909dabe3c945affb37 completed May 12, 2026, 9:13 p.m.
NEDg Description generation batch_6a0399364d988190a457415c9c64a68d completed May 12, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_6a0399e221308190988e728b9efb0141 completed May 12, 2026, 9:21 p.m.
Created at: April 8, 2026, 9:31 p.m.