Triple

T25997609
Position Surface form Disambiguated ID Type / Status
Subject Osaka Municipal Subway 10 series E646527 entity
Predicate operatedBySuccessor P5677 FINISHED
Object Osaka Metro 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: Osaka Metro | Statement: [Osaka Municipal Subway 10 series, operatedBySuccessor, Osaka Metro]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatedBySuccessor
Context triple: [Osaka Municipal Subway 10 series, operatedBySuccessor, Osaka Metro]
  • A. successorOperator chosen
    Indicates that one operator directly follows another in a defined sequence or ordering.
  • B. successorProcess
    Indicates that one process directly follows another in a defined sequence or workflow.
  • C. successorUse
    Indicates that one entity is used or applied as the subsequent or follow-up use of another entity in a sequence or lifecycle.
  • D. successorReceives
    Indicates that a successor entity obtains or is granted something (such as rights, assets, or responsibilities) from a predecessor.
  • E. successorControl
    Indicates that control, authority, or responsibility is transferred from one entity to another that follows it in a sequence or succession.
  • 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_69e77e88cb8481908da31d4a00661f55 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69fb3425666081908916fcbf3b5dd907 completed May 6, 2026, 12:29 p.m.
PD Predicate disambiguation batch_69fb2f5f3164819099429c2cc3d24e01 completed May 6, 2026, 12:09 p.m.
Created at: April 22, 2026, 8:58 a.m.