Triple

T5025642
Position Surface form Disambiguated ID Type / Status
Subject Fujinomiya E112966 entity
Predicate transport P230 FINISHED
Object Fujinomiya Station
Fujinomiya Station is a railway station in Fujinomiya, Shizuoka Prefecture, Japan, serving as a local transit hub for passengers traveling in the Mount Fuji area.
E949748 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: Fujinomiya Station | Statement: [Fujinomiya, transport, Fujinomiya Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fujinomiya Station
Context triple: [Fujinomiya, transport, Fujinomiya Station]
  • A. Fujimigaoka Station
    Fujimigaoka Station is a railway station in Tokyo, Japan, serving passengers on a suburban commuter line operated by the Keio Corporation.
  • B. Morinomiya Station
    Morinomiya Station is a railway and subway station complex in Osaka, Japan, serving as a key access point to the Osaka Castle area and several urban transit lines.
  • C. Minowa Station
    Minowa Station is a subway station on the Tokyo Metro Hibiya Line serving the Taitō area of Tokyo, Japan.
  • D. Fuminosato Station
    Fuminosato Station is a railway station in Osaka, Japan, served by the Kintetsu Minami Osaka Line.
  • E. Motoyama Station
    Motoyama Station is a railway station in Nagoya, Japan, serving as a key stop on the city’s subway 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: Fujinomiya Station
Triple: [Fujinomiya, transport, Fujinomiya Station]
Generated description
Fujinomiya Station is a railway station in Fujinomiya, Shizuoka Prefecture, Japan, serving as a local transit hub for passengers traveling in the Mount Fuji area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fujinomiya Station
Target entity description: Fujinomiya Station is a railway station in Fujinomiya, Shizuoka Prefecture, Japan, serving as a local transit hub for passengers traveling in the Mount Fuji area.
  • A. Fujimigaoka Station
    Fujimigaoka Station is a railway station in Tokyo, Japan, serving passengers on a suburban commuter line operated by the Keio Corporation.
  • B. Morinomiya Station
    Morinomiya Station is a railway and subway station complex in Osaka, Japan, serving as a key access point to the Osaka Castle area and several urban transit lines.
  • C. Minowa Station
    Minowa Station is a subway station on the Tokyo Metro Hibiya Line serving the Taitō area of Tokyo, Japan.
  • D. Fuminosato Station
    Fuminosato Station is a railway station in Osaka, Japan, served by the Kintetsu Minami Osaka Line.
  • E. Motoyama Station
    Motoyama Station is a railway station in Nagoya, Japan, serving as a key stop on the city’s subway 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd736a0f8c819091d06275954329e9 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f1658e03a8819098ea2ac2f818a61a completed April 29, 2026, 1:57 a.m.
NEDg Description generation batch_69f16e31ebfc81908255e24b96bf9a99 completed April 29, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_69f1a09eae7481908200709ae9721d53 completed April 29, 2026, 6:09 a.m.
Created at: March 20, 2026, 1:36 p.m.