Triple

T1628637
Position Surface form Disambiguated ID Type / Status
Subject Metropolis II E35203 entity
Predicate numberOfCars P22510 FINISHED
Object over 1,000 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: over 1,000 | Statement: [Metropolis II, numberOfCars, over 1,000]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfCars
Context triple: [Metropolis II, numberOfCars, over 1,000]
  • A. numberOfVehicles chosen
    Indicates the total count of vehicles associated with a given entity or context.
  • B. numberOfCarsPerUnit
    Indicates the quantity of cars associated with each single unit of a specified measure (such as time, distance, or entity).
  • C. numberOfDoors
    Indicates the quantity of doors associated with an entity.
  • D. rowsPerCar
    Indicates the number of rows associated with or allocated to each individual car.
  • E. numberOfWheels
    Indicates the quantity of wheels that an entity possesses or is associated with.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9431af5ac8190893133f1ae490142 completed March 5, 2026, 8:47 a.m.
PD Predicate disambiguation batch_69a907c91c888190b6ed295c1a2e0977 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:28 p.m.