Triple

T7460001
Position Surface form Disambiguated ID Type / Status
Subject Adventure World E176220 entity
Predicate operator P179 FINISHED
Object Premier Parks E666561 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: Premier Parks | Statement: [Adventure World, operator, Premier Parks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Premier Parks
Context triple: [Adventure World, operator, Premier Parks]
  • A. Premier Parks chosen
    Premier Parks is an American amusement and water park operating company that owns and manages multiple regional theme parks.
  • B. Prince William Forest Park
    Prince William Forest Park is a large, wooded national park in northern Virginia known for its extensive hiking trails, cabins, and preserved natural and historical landscapes near Washington, D.C.
  • C. Miller Ecological Park
    Miller Ecological Park is a public nature and recreation area in Lebanon, Ohio, featuring trails, natural habitats, and outdoor educational opportunities.
  • D. Namba Parks
    Namba Parks is a large multi-level shopping, dining, and entertainment complex in Osaka, Japan, known for its distinctive rooftop garden and canyon-like architectural design.
  • E. Monrepos Park
    Monrepos Park is a historic landscape park and former manor estate on an island in Vyborg, Russia, known for its romantic rocky scenery and picturesque views of the Gulf of Finland.
  • 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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3d525708190b7838e07ac2fbe1f completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c5bab90819093431470e0e8c0e3 completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 3:38 p.m.