Triple

T15824522
Position Surface form Disambiguated ID Type / Status
Subject national electoral districts of Chile E383701 entity
Predicate definesNumberOfSeats P119783 FINISHED
Object number of deputies elected per district 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: number of deputies elected per district | Statement: [national electoral districts of Chile, definesNumberOfSeats, number of deputies elected per district]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: definesNumberOfSeats
Context triple: [national electoral districts of Chile, definesNumberOfSeats, number of deputies elected per district]
  • A. seatCount
    Indicates the number of seats associated with an entity, such as a venue, vehicle, or room.
  • B. currentNumberOfSeats
    Indicates the present total count of seats associated with an entity or context.
  • C. seatingCapacity
    Indicates the maximum number of people that something (typically a venue or vehicle) is designed or allowed to seat.
  • D. hasSeating
    Indicates that one entity provides or contains seating capacity or seating arrangements for another entity.
  • E. seatsPerRow
    Indicates the number of seats that are arranged in each row within a seating layout or configuration.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e5f46748190acb46cc482501307 completed April 16, 2026, 5:37 p.m.
PD Predicate disambiguation batch_69e005418f588190824d91ff7974dada completed April 15, 2026, 9:38 p.m.
PDg Predicate description generation batch_69e007647f908190adb178c68c7bb7cf completed April 15, 2026, 9:47 p.m.
Created at: April 10, 2026, 4:49 a.m.