Triple

T8720199
Position Surface form Disambiguated ID Type / Status
Subject MF 67 E206990 entity
Predicate successorRollingStockType P84259 FINISHED
Object MF 77 E207261 NE FINISHED

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 77 | Statement: [MF 67, successorRollingStockType, MF 77]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MF 77
Context triple: [MF 67, successorRollingStockType, MF 77]
  • A. MF 77 chosen
    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.
  • B. 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.
  • C. M-77
    M-77 is a state highway in Michigan, United States, running north–south through the eastern Upper Peninsula.
  • D. 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.
  • E. M-97
    M-97 is a state highway in Michigan that serves as a key transportation route through the Detroit metropolitan area, including Warren.
  • 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: successorRollingStockType
Context triple: [MF 67, successorRollingStockType, MF 77]
  • A. successorTractionType
    Indicates that one traction type directly follows or replaces another in a sequence or evolution of traction systems.
  • B. formerRollingStock
    Indicates that an entity was previously used as rolling stock (e.g., railway vehicles) but no longer serves in that capacity.
  • C. successorType
    Indicates the specific kind or category of successor relationship that holds between one entity and the next in a sequence or hierarchy.
  • D. successorAircraftType
    Indicates that one aircraft type directly follows and replaces another in operational or developmental succession.
  • E. rollingStockType
    Indicates the specific category or type of railway rolling stock associated with an entity (e.g., locomotive, passenger car, freight wagon).
  • F. None of above. chosen

Provenance (5 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d02a52c81909f93622ae6920b80 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28f599a481908e93bc5b5c41296e completed April 3, 2026, 2:41 a.m.
PD Predicate disambiguation batch_69cc457093188190959287a6458651c6 completed March 31, 2026, 10:06 p.m.
PDg Predicate description generation batch_69cc489dd528819084ed5d88bd8bb3d6 completed March 31, 2026, 10:20 p.m.
Created at: March 30, 2026, 6:36 p.m.