Triple

T5414416
Position Surface form Disambiguated ID Type / Status
Subject Speaker of the Alaska House of Representatives E121092 entity
Predicate seatCount P63301 FINISHED
Object one 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: one | Statement: [Speaker of the Alaska House of Representatives, seatCount, one]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seatCount
Context triple: [Speaker of the Alaska House of Representatives, seatCount, one]
  • A. seatingCapacity
    Indicates the maximum number of people that something (typically a venue or vehicle) is designed or allowed to seat.
  • B. hasSeating
    Indicates that one entity provides or contains seating capacity or seating arrangements for another entity.
  • C. hasSeat
    Indicates that one entity possesses, provides, or includes a seat for another entity.
  • D. seatNumber
    Indicates the specific numbered position assigned to a seat within a defined seating arrangement or venue.
  • E. isAllSeater
    Indicates that the entity provides only seated accommodation, with no standing room available.
  • 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_69bd463a41cc8190b32ff5af2b96ca93 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87bcace08190932fe85e4b4aeffc completed March 20, 2026, 5:45 p.m.
PD Predicate disambiguation batch_69bd8467e6b48190b9eaa9de67072e06 completed March 20, 2026, 5:31 p.m.
PDg Predicate description generation batch_69bd865702ec8190831bde2c2a331f28 completed March 20, 2026, 5:39 p.m.
Created at: March 20, 2026, 2:05 p.m.