Triple

T18714722
Position Surface form Disambiguated ID Type / Status
Subject Sharp Park Beach E457605 entity
Predicate partOf P40 FINISHED
Object Sharp Park NE NERFINISHED

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: Sharp Park | Statement: [Sharp Park Beach, partOf, Sharp Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharp Park
Context triple: [Sharp Park Beach, partOf, Sharp Park]
  • A. Sharp Park chosen
    Sharp Park is a coastal neighborhood in Pacifica, California, known for its oceanfront setting, golf course, and access to beaches and coastal trails.
  • B. Stone Park
    Stone Park is a local public park in Ashland, Massachusetts, used for community recreation and outdoor activities.
  • C. Tapgol Park
    Tapgol Park is a historic public park in central Seoul, South Korea, best known as the site where the March 1st Independence Movement against Japanese colonial rule was first proclaimed.
  • D. Badachu Park
    Badachu Park is a historic scenic area in Beijing known for its eight ancient Buddhist temples, lush forested hills, and popular hiking trails.
  • E. Singleton Park
    Singleton Park is a large public park in Swansea, Wales, known for its botanical gardens, ornamental lakes, and as the scenic setting for part of Swansea University's campus.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56ab4ee6881908f19558937cbb078 completed April 19, 2026, 11:52 p.m.
Created at: April 10, 2026, 11:50 a.m.