Triple

T3131965
Position Surface form Disambiguated ID Type / Status
Subject Shinkansen high-speed rail network E65434 entity
Predicate secondaryHub P8522 FINISHED
Object Nagoya Station E83103 NE FINISHED

How this triple was built (2 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: Nagoya Station | Statement: [Shinkansen high-speed rail network, secondaryHub, Nagoya Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagoya Station
Context triple: [Shinkansen high-speed rail network, secondaryHub, Nagoya Station]
  • A. Nagoya Station chosen
    Nagoya Station is one of Japan’s largest and busiest railway hubs, serving as a major Shinkansen and regional transit center in the city of Nagoya.
  • B. Yokohama Station
    Yokohama Station is one of Japan’s busiest railway hubs, serving numerous JR, private, and subway lines in central Yokohama.
  • C. Osaka Station
    Osaka Station is a major railway terminal and transportation hub in Osaka, Japan, serving numerous local and long-distance train lines and connecting key commercial districts.
  • D. Nagano Station
    Nagano Station is a major railway hub in Nagano, Japan, serving as a gateway to the region’s ski resorts, temples, and surrounding mountain areas.
  • E. Sendai Station
    Sendai Station is the main railway hub of Sendai, Japan, serving as a major stop for Shinkansen high-speed trains and numerous local and regional lines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada55f77b881908866fc43bdb18185 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81e93671481909555acbc8a712930 completed March 28, 2026, 6:31 p.m.
Created at: March 8, 2026, 3:04 p.m.