Triple

T10988772
Position Surface form Disambiguated ID Type / Status
Subject Value Resort Hotels E259701 entity
Predicate includesPerks P1393 FINISHED
Object early theme park entry for resort guests (policy-dependent) 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: early theme park entry for resort guests (policy-dependent) | Statement: [Value Resort Hotels, includesPerks, early theme park entry for resort guests (policy-dependent)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesPerks
Context triple: [Value Resort Hotels, includesPerks, early theme park entry for resort guests (policy-dependent)]
  • A. includesPeriodFeature
    Indicates that something contains or incorporates a specific period-related feature as part of its characteristics or structure.
  • B. includes chosen
    Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
  • C. participationIncludes
    Indicates that a broader participation instance encompasses or contains a more specific participation instance as part of it.
  • D. ticketIncludes
    Indicates that a particular ticket grants access to, contains, or covers the specified item, service, or component.
  • E. hasSpecials
    Indicates that an entity offers or is associated with special deals, promotions, or limited-time offers.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b574d08190adec34b814a26437 completed April 9, 2026, 11:04 a.m.
PD Predicate disambiguation batch_69d72e9055908190b438f039574aaaaf completed April 9, 2026, 4:44 a.m.
Created at: April 8, 2026, 9:24 p.m.