Triple

T2868525
Position Surface form Disambiguated ID Type / Status
Subject Tokaido Shinkansen E63499 entity
Predicate maximumOperatingSpeed_kmh P2096 FINISHED
Object 285 LITERAL 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: 285 | Statement: [Tokaido Shinkansen, maximumOperatingSpeed_kmh, 285]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maximumOperatingSpeed_kmh
Context triple: [Tokaido Shinkansen, maximumOperatingSpeed_kmh, 285]
  • A. maxSpeed chosen
    Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
  • B. category1UpperBound_mph
    Indicates the maximum speed limit, in miles per hour, that defines the upper boundary of category 1.
  • C. speedAchieved
    Indicates that a particular speed has been reached or attained by an entity during an event or action.
  • D. category4UpperBound_mph
    Indicates the maximum wind speed in miles per hour that defines the upper limit of Category 4 in a classification scale.
  • E. category3UpperBound_mph
    Indicates the maximum wind speed in miles per hour that defines the upper limit of category 3 within a categorized scale.
  • F. None of above.

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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfdfef1881909dc52a1b34cd24e3 completed March 7, 2026, 8:20 a.m.
PD Predicate disambiguation batch_69abdd123ec48190af50a1859aea50b7 completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:02 p.m.