Triple

T11131001
Position Surface form Disambiguated ID Type / Status
Subject Kings Mills, Ohio E263279 entity
Predicate hasLandmark P105 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: [Kings Mills, Ohio, hasLandmark, Kings Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kings Island
Context triple: [Kings Mills, Ohio, hasLandmark, 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. Cedar Point
    Cedar Point is a natural area within Jacksonville, Florida, known for its coastal habitats, hiking trails, and wildlife viewing opportunities.
  • E. Kings Dominion
    Kings Dominion is a large amusement and theme park in Doswell, Virginia, known for its roller coasters and family attractions.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e831f4808190afabdaa0e97bbe32 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441e6b72881908f8288e99df0cb7c completed April 19, 2026, 2:45 a.m.
Created at: April 8, 2026, 9:28 p.m.