Triple

T37669065
Position Surface form Disambiguated ID Type / Status
Subject Geauga Lake E937900 entity
Predicate waterParkComponentClosingDate P196853 FINISHED
Object 2016 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: 2016 | Statement: [Geauga Lake, waterParkComponentClosingDate, 2016]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: waterParkComponentClosingDate
Context triple: [Geauga Lake, waterParkComponentClosingDate, 2016]
  • A. themeParkClosingDate
    Indicates the date on which a theme park ceases operations or closes, either temporarily or permanently.
  • B. themeParkStatus
    Indicates the current operational condition or state of a theme park, such as whether it is open, closed, or otherwise restricted.
  • C. closingDateAtWaltDisneyStudiosPark
    Indicates the date on which something (typically an attraction or feature) ceased operations specifically at Walt Disney Studios Park.
  • D. waterParkCount
    Indicates the number of water parks associated with a given entity or within a specified area.
  • E. zooClosed
    Indicates that a zoo is not open to visitors during a given time or under specified conditions.
  • 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_69f76ed6df7c8190b018e5baea716ceb completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fe6b7c785c8190aaab06019f571434 completed May 8, 2026, 11:02 p.m.
PD Predicate disambiguation batch_69fe68edef20819081c77f9607b944dd completed May 8, 2026, 10:51 p.m.
PDg Predicate description generation batch_69fe6b7a823881909dc2037fe25bea24 completed May 8, 2026, 11:02 p.m.
Created at: May 3, 2026, 4:18 p.m.