Triple

T25997612
Position Surface form Disambiguated ID Type / Status
Subject Osaka Municipal Subway 10 series E646527 entity
Predicate hasPassengerDoorsOn P128223 FINISHED
Object both sides 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: both sides | Statement: [Osaka Municipal Subway 10 series, hasPassengerDoorsOn, both sides]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPassengerDoorsOn
Context triple: [Osaka Municipal Subway 10 series, hasPassengerDoorsOn, both sides]
  • A. hasDoors
    Indicates that an object or structure possesses one or more doors.
  • B. vehicleDoorType chosen
    Indicates the specific style or configuration of doors that a vehicle has.
  • C. numberOfDoors
    Indicates the quantity of doors associated with an entity.
  • D. hasDoorsOperation
    Indicates that an entity has a specific type or mode of operation for its doors (e.g., how they open, close, or are controlled).
  • E. hasDoor
    Indicates that one entity possesses or is equipped with a door that provides access to or through it.
  • 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_69f6b2a65c7c8190ac40f1466ceadefc completed May 3, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f6b14d7d508190bc7d4c89dfba4a32 completed May 3, 2026, 2:22 a.m.
Created at: April 22, 2026, 8:58 a.m.