Triple

T27746679
Position Surface form Disambiguated ID Type / Status
Subject AdventHealth Arena E702001 entity
Predicate hasPracticeUse P46656 FINISHED
Object yes 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: yes | Statement: [AdventHealth Arena, hasPracticeUse, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPracticeUse
Context triple: [AdventHealth Arena, hasPracticeUse, yes]
  • A. hasPractices
    Indicates that an entity engages in, follows, or carries out specific practices, methods, or customary ways of doing things.
  • B. usedInPractice chosen
    Indicates that something is actually applied or implemented in real-world practice rather than just being theoretical or proposed.
  • C. hasHumanUse
    Indicates that something is used, employed, or utilized by humans for a particular purpose or benefit.
  • D. hasResearchUse
    Indicates that an entity is used for, or associated with, conducting research activities or purposes.
  • E. hasProductionUse
    Indicates that something is utilized or applied within a production or operational environment.
  • 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_69ef6a53c7388190899baa6daf42301c completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69fe5d58c3e48190910aa3c23485e2c4 completed May 8, 2026, 10:02 p.m.
PD Predicate disambiguation batch_69fe5c92090c8190bcfa412c0a3619df completed May 8, 2026, 9:58 p.m.
Created at: April 27, 2026, 4:16 p.m.