Triple

T26451532
Position Surface form Disambiguated ID Type / Status
Subject S4 Line (Nanjing Metro) E665362 entity
Predicate usesRailVehicles P5426 FINISHED
Object electric multiple units 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: electric multiple units | Statement: [S4 Line (Nanjing Metro), usesRailVehicles, electric multiple units]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesRailVehicles
Context triple: [S4 Line (Nanjing Metro), usesRailVehicles, electric multiple units]
  • A. usesRollingStock chosen
    Indicates that one entity employs or operates specific rolling stock (such as rail vehicles) in its activities or services.
  • B. usesRailInfrastructureOf
    Indicates that one entity operates on, accesses, or otherwise makes use of the rail infrastructure owned or managed by another entity.
  • C. usesRollingStockCompatibleWith
    Indicates that one entity operates using rolling stock that is technically and operationally compatible with the rolling stock standards or systems associated with another entity.
  • D. allowsFreightTrains
    Indicates that something permits or authorizes the operation or passage of freight trains.
  • E. hasRail
    Indicates that something is equipped with, includes, or is connected to a rail or rail system.
  • 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_69ee883d5040819097dd154643005230 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f6247480cc8190a887eedaeb94615c completed May 2, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69f623a7539c8190b71797f583da9f63 completed May 2, 2026, 4:17 p.m.
Created at: April 27, 2026, 12:05 a.m.