Triple

T6304727
Position Surface form Disambiguated ID Type / Status
Subject Paramount Parks E141345 entity
Predicate formerNameOf P65 FINISHED
Object Kings Island E518095 NE 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: Kings Island | Statement: [Paramount Parks, formerNameOf, Kings Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kings Island
Context triple: [Paramount Parks, formerNameOf, Kings Island]
  • A. Kings Island chosen
    Kings Island is a large amusement and theme park in Mason, Ohio, known for its roller coasters and family attractions.
  • B. King's Island
    King's Island is the historic core of Limerick city, Ireland, known for landmarks like King John’s Castle and its medieval streetscape.
  • C. Cedar Point
    Cedar Point is a renowned amusement park in Sandusky, Ohio, famous for its large collection of record-breaking roller coasters and thrill rides.
  • D. Kings Dominion
    Kings Dominion is a large amusement and theme park in Doswell, Virginia, known for its roller coasters and family attractions.
  • E. Llewellyn Park
    Llewellyn Park is a historic, planned residential community in West Orange, New Jersey, known as one of the first suburban enclaves in the United States and noted for its landscaped, park-like setting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645f26a881909d5746151c0843cc completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6385ef7c48190bc81711856977330 completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:28 p.m.