Triple

T34771623
Position Surface form Disambiguated ID Type / Status
Subject L0 Series maglev trainsets E1002376 entity
Predicate plannedExtensionRoute P29764 FINISHED
Object Tokyo–Osaka NE NERFINISHED

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: Tokyo–Osaka | Statement: [L0 Series maglev trainsets, plannedExtensionRoute, Tokyo–Osaka]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: plannedExtensionRoute
Context triple: [L0 Series maglev trainsets, plannedExtensionRoute, Tokyo–Osaka]
  • A. routeExtension chosen
    Indicates that an existing route is extended beyond its original endpoint to cover additional segments or destinations.
  • B. plannedExtensionTo
    Indicates that one entity is intended or scheduled to be extended, expanded, or continued by another entity in the future.
  • C. plannedExtensionDirection
    Indicates the intended directional path or orientation along which something is planned to be extended in the future.
  • D. plannedExtensionProvince
    Indicates that a planned extension or expansion is intended to occur within the specified province.
  • E. plannedExtensionLength
    Indicates the intended or proposed length of an extension as specified in a plan or design.
  • 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_69f76db20dac8190b1e8d0ca4dc1d59f completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fce7671f108190bf3ebf54339068b5 completed May 7, 2026, 7:26 p.m.
PD Predicate disambiguation batch_69fce5b5a84c81908ac1b5b9f08d48d0 completed May 7, 2026, 7:19 p.m.
Created at: May 3, 2026, 3:59 p.m.