Triple

T9017275
Position Surface form Disambiguated ID Type / Status
Subject LEGOLAND California Resort E215623 entity
Predicate numberOfHotels P84196 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: [LEGOLAND California Resort, numberOfHotels, 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfHotels
Context triple: [LEGOLAND California Resort, numberOfHotels, 2]
  • A. numberOfHotelRooms
    Indicates the total count of rooms that a given hotel has.
  • B. numberOfRestaurants
    Indicates the quantitative count of restaurants associated with a given entity or context.
  • C. numberOfVenues
    Indicates the total count of venues associated with a given entity or context.
  • D. hasHotelsOnSite chosen
    Indicates that the subject location includes one or more hotels situated directly on its premises.
  • E. numberOfHouses
    Indicates the quantity of houses associated with a given entity or 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69fd2a888190a20bf18cd226a180 completed April 1, 2026, 12:42 a.m.
PD Predicate disambiguation batch_69cc5edf84408190aa5f57cb8bfd00e1 completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:06 p.m.