Triple

T5254241
Position Surface form Disambiguated ID Type / Status
Subject Shin-Kobe Station E118659 entity
Predicate isStopFor P17789 FINISHED
Object Nozomi E306032 NE FINISHED

How this triple was built (3 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: Nozomi | Statement: [Shin-Kobe Station, isStopFor, Nozomi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nozomi
Context triple: [Shin-Kobe Station, isStopFor, Nozomi]
  • A. Nozomi chosen
    Nozomi is the fastest and most premium Shinkansen (bullet train) service operating on Japan’s Tokaido and Sanyo lines, known for its high speed and frequent departures between major cities like Tokyo and Osaka.
  • B. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • C. Naoko
    Naoko is a central, emotionally fragile character in Haruki Murakami’s story "Norwegian Wood," whose complex relationship with the protagonist explores themes of love, loss, and mental illness.
  • D. Reona
    Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
  • E. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isStopFor
Context triple: [Shin-Kobe Station, isStopFor, Nozomi]
  • A. hasStop chosen
    Indicates that something (such as a route, service, or journey) includes or is associated with a particular stop or stopping point.
  • B. hasStopType
    Indicates that a stop or stopping point is classified as having a particular type or category of stop.
  • C. hasStopFeature
    Indicates that one entity possesses or is equipped with a feature that enables stopping or halting an associated process, action, or movement.
  • D. isNonstopPossible
    Indicates that it is possible to perform or complete the referenced trip, route, or process without any intermediate stops or interruptions.
  • E. isKeyStopOn
    Indicates that a particular stop functions as a primary or significant stop along a specified route or service.
  • F. None of above.

Provenance (4 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba1cca88190bebd516851b9bf7f completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe7708108190ac772f7b2d5ab02a completed March 21, 2026, 8:24 p.m.
PD Predicate disambiguation batch_69bd77c30bac8190a883ca45da35d667 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:50 p.m.