Triple

T19635930
Position Surface form Disambiguated ID Type / Status
Subject Pont de Sèvres E471395 entity
Predicate hasRollingStockOnLine9 P5426 FINISHED
Object MF 01 NE NERFINISHED

How this triple was built (3 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: MF 01 | Statement: [Pont de Sèvres, hasRollingStockOnLine9, MF 01]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MF 01
Context triple: [Pont de Sèvres, hasRollingStockOnLine9, MF 01]
  • A. MF 01 chosen
    MF 01 is a class of modern steel-wheeled electric multiple unit trains used on several lines of the Paris Métro.
  • B. MF 19
    MF 19 is a planned new generation of Paris Métro rubber-tyred rolling stock intended to replace older MF-series trains on several lines.
  • C. MF 77
    MF 77 is a steel-wheeled electric multiple unit train used on several lines of the Paris Métro, introduced in the late 1970s to modernize the network’s rolling stock.
  • D. MF 67
    MF 67 is a class of steel-wheeled electric multiple unit trains that have long served as a primary rolling stock type on the Paris Métro.
  • E. MF 88
    MF 88 is a type of rubber-tyred electric multiple unit train used on the Paris Métro, notable for its experimental design and limited deployment.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRollingStockOnLine9
Context triple: [Pont de Sèvres, hasRollingStockOnLine9, MF 01]
  • A. line1RollingStock
    Indicates that the rolling stock (e.g., train cars or locomotives) is assigned to or operating on the first line in a multi-line rail system.
  • B. usesRollingStock chosen
    Indicates that one entity employs or operates specific rolling stock (such as rail vehicles) in its activities or services.
  • C. hasRollingStockOnDisplay
    Indicates that a location or entity has railway rolling stock (such as locomotives or carriages) exhibited for public viewing.
  • D. line11RollingStock
    Indicates that the rolling stock (rail vehicles) is associated with or operates on line 11.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641070528819085663c439f50148e completed April 20, 2026, 3:06 p.m.
PD Predicate disambiguation batch_69e514e5cb108190ae260e466c447314 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:44 p.m.