Triple

T8465845
Position Surface form Disambiguated ID Type / Status
Subject Town of Georgina E200158 entity
Predicate hasCommunity P2605 FINISHED
Object Willow Beach E274842 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: Willow Beach | Statement: [Town of Georgina, hasCommunity, Willow Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willow Beach
Context triple: [Town of Georgina, hasCommunity, Willow Beach]
  • A. Willow Beach chosen
    Willow Beach is a lakeside community in the town of Georgina, Ontario, known for its public beach and recreational access to Lake Simcoe.
  • B. Willow Beach
    Willow Beach is a popular recreational area along the Colorado River known for boating, fishing, and scenic desert canyon views near Lake Mohave.
  • C. Tamarack Beach
    Tamarack Beach is a popular sandy shoreline and recreational spot along the Pacific Ocean in Carlsbad, California.
  • D. Walnut Beach
    Walnut Beach is a popular public beach and recreational area on Long Island Sound in Milford, Connecticut, known for its sandy shoreline, fishing pier, and boardwalk.
  • E. Big River Beach
    Big River Beach is a scenic sandy beach at the mouth of the Big River on the Mendocino coast of Northern California, popular for walking, kayaking, and wildlife viewing.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4d17ec8819093becdaec750aff5 completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39e0d7788190add03271c940e1ff completed April 2, 2026, 9:41 a.m.
Created at: March 30, 2026, 6:11 p.m.