Triple

T28053364
Position Surface form Disambiguated ID Type / Status
Subject Hakuna Matata Restaurant E708886 entity
Predicate hasOperatingContext P175326 FINISHED
Object theme park dining plan eligible (when offered) 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: theme park dining plan eligible (when offered) | Statement: [Hakuna Matata Restaurant, hasOperatingContext, theme park dining plan eligible (when offered)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOperatingContext
Context triple: [Hakuna Matata Restaurant, hasOperatingContext, theme park dining plan eligible (when offered)]
  • A. hasOperatorContext
    Indicates that an entity is associated with, or occurs within, a specific operator’s execution or operational context.
  • B. hasPlatformContext
    Indicates that something exists or operates within a specific platform environment, configuration, or contextual setting.
  • C. hasWorkContext
    Indicates that an entity is associated with a particular work-related situation, environment, or context in which it is relevant or applies.
  • D. hasNavigationContext
    Indicates that an entity is associated with a particular navigation-related context or state that influences how it is accessed, viewed, or traversed.
  • E. hasProtectionContext
    Indicates that an entity is associated with a specific protection-related context that governs how it is safeguarded or controlled.
  • 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_69ef9b6df9f48190bbb971d02cbe1b65 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f6d1d916f881909575c2b22c416a5b completed May 3, 2026, 4:40 a.m.
PD Predicate disambiguation batch_69f6cfe2183481908ae4e85a59c66f69 completed May 3, 2026, 4:32 a.m.
PDg Predicate description generation batch_69f6d0d331dc8190be5aa6bfc6365e67 completed May 3, 2026, 4:36 a.m.
Created at: April 27, 2026, 8:34 p.m.