Triple

T417424
Position Surface form Disambiguated ID Type / Status
Subject Bombardier M5000 E8024 entity
Predicate numberOfCarsPerUnit P14643 FINISHED
Object 2 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: 2 | Statement: [Bombardier M5000, numberOfCarsPerUnit, 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfCarsPerUnit
Context triple: [Bombardier M5000, numberOfCarsPerUnit, 2]
  • A. numberOfDoors
    Indicates the quantity of doors associated with an entity.
  • B. numberOfCylinders
    Indicates the count of engine cylinders associated with an entity.
  • C. hasCarLength
    Indicates that an entity is associated with a specific measurement representing the length of a car.
  • D. vehicleType
    Indicates the specific kind or category of vehicle associated with an entity (e.g., car, bus, bicycle).
  • E. numberOfEngines
    Indicates the quantity of engines associated with or used by an entity.
  • F. None of above. chosen

Provenance (4 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eebde1d881908fb212bfba9d7c67 completed Feb. 28, 2026, 1:33 p.m.
PD Predicate disambiguation batch_69a2edd1ca148190a66bd8c5aad867d5 completed Feb. 28, 2026, 1:29 p.m.
PDg Predicate description generation batch_69a2eeb8545c8190a2b8517e7ed5b92e completed Feb. 28, 2026, 1:33 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.