Triple

T1980612
Position Surface form Disambiguated ID Type / Status
Subject BMW X7 E43016 entity
Predicate numberOfRowsOfSeats P25953 FINISHED
Object 3 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: 3 | Statement: [BMW X7, numberOfRowsOfSeats, 3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfRowsOfSeats
Context triple: [BMW X7, numberOfRowsOfSeats, 3]
  • A. numberOfSeatingRows chosen
    Indicates the total count of seating rows associated with an entity, such as a venue, vehicle, or seating area.
  • B. seatingCapacity
    Indicates the maximum number of people that something (typically a venue or vehicle) is designed or allowed to seat.
  • C. numberOfCommonsSeats
    Indicates the number of seats an entity holds or is allocated in the House of Commons.
  • D. numberOfSittings
    Indicates the total count of distinct sittings or sessions associated with an entity or event.
  • E. hasGeneralSeats
    Indicates that an entity possesses or includes general (non-reserved) seats in a seating or allocation context.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb96f932881908bebfc4176fda7c0 completed March 7, 2026, 5:36 a.m.
PD Predicate disambiguation batch_69abb798d288819083132cf14605bd02 completed March 7, 2026, 5:28 a.m.
Created at: March 4, 2026, 7:37 p.m.