Triple

T36975643
Position Surface form Disambiguated ID Type / Status
Subject Sun International E914687 entity
Predicate typeOfResorts P88110 FINISHED
Object integrated resorts — 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: integrated resorts | Statement: [Sun International, typeOfResorts, integrated resorts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfResorts
Context triple: [Sun International, typeOfResorts, integrated resorts]
  • A. typeOfResortDeveloped
    Indicates that a specific kind or category of resort has been developed in relation to a given entity or location.
  • B. skiAreaType
    Indicates the specific type or classification of a ski area associated with an entity (e.g., resort, backcountry, terrain park).
  • C. hasSkiResortType
    Indicates that an entity is associated with, or classified by, a specific type or category of ski resort.
  • D. skiResortBase
    Indicates that a location serves as the base area or primary starting point of a ski resort.
  • E. includesResortType chosen
    Indicates that one entity contains or offers a specific type or category of resort as part of its overall composition or services.
  • 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_69f76e8d13b4819089af24a47ce092fc completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a033d975d788190aafc4be10d6c5c1c completed May 12, 2026, 2:47 p.m.
PD Predicate disambiguation batch_6a033cc2668481908cb696e57632a68f completed May 12, 2026, 2:44 p.m.
Created at: May 3, 2026, 4:14 p.m.