Triple

T3007965
Position Surface form Disambiguated ID Type / Status
Subject Nagoya Castle E81946 entity
Predicate nearbyTransport P5822 FINISHED
Object Shiyakusho Station
Shiyakusho Station is a subway station in Nagoya, Japan, serving the city hall area and providing convenient access to Nagoya Castle.
 E690392 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: Shiyakusho Station | Statement: [Nagoya Castle, nearbyTransport, Shiyakusho Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shiyakusho Station
Context triple: [Nagoya Castle, nearbyTransport, Shiyakusho Station]
  • A. Shindaita Station
    Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
  • B. 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.
  • C. Tawaramachi Station
    Tawaramachi Station is a subway station on the Tokyo Metro Ginza Line located in the Taitō ward of Tokyo, Japan.
  • D. Shōji Station
    Shōji Station is a railway station in Osaka, Japan, serving passengers on the Osaka Metro network.
  • E. 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.
  • 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: Shiyakusho Station
Triple: [Nagoya Castle, nearbyTransport, Shiyakusho Station]
Generated description
Shiyakusho Station is a subway station in Nagoya, Japan, serving the city hall area and providing convenient access to Nagoya Castle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shiyakusho Station
Target entity description: Shiyakusho Station is a subway station in Nagoya, Japan, serving the city hall area and providing convenient access to Nagoya Castle.
  • A. Shindaita Station
    Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
  • B. 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.
  • C. Tawaramachi Station
    Tawaramachi Station is a subway station on the Tokyo Metro Ginza Line located in the Taitō ward of Tokyo, Japan.
  • D. Shōji Station
    Shōji Station is a railway station in Osaka, Japan, serving passengers on the Osaka Metro network.
  • E. 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.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a4a12508190a48ae1c86233d25e completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c934b54a7c81909cdccd01af24c73d completed March 29, 2026, 2:18 p.m.
NEDg Description generation batch_69c93595216c81908bcb5166269540aa completed March 29, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_69c9368cc6848190bcafcc16fe334d24 completed March 29, 2026, 2:26 p.m.
Created at: March 8, 2026, 3 p.m.