Triple

T6997597
Position Surface form Disambiguated ID Type / Status
Subject Happy Isles trailhead E162255 entity
Predicate partOf P40 FINISHED
Object Happy Isles E60805 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: Happy Isles | Statement: [Happy Isles trailhead, partOf, Happy Isles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Happy Isles
Context triple: [Happy Isles trailhead, partOf, Happy Isles]
  • A. Happy Isles chosen
    Happy Isles is a scenic area in Yosemite National Park that serves as a popular trailhead and access point to the park’s high-country hiking routes.
  • B. The Happy Island
    The Happy Island is a satirical novel by American writer Dawn Powell, known for its sharp social observation and witty portrayal of mid-20th-century urban life.
  • C. Hope Island
    Hope Island is a coastal suburb and residential community located at the northern end of Queensland’s Gold Coast, known for its waterways, golf courses, and marina developments.
  • D. Hope Island
    Hope Island is a small, privately owned island located in Narragansett Bay off the coast of Rhode Island.
  • E. Pie Island
    Pie Island is a large, rugged island in Lake Superior near Thunder Bay, Ontario, known for its striking cliffs, hiking opportunities, and scenic views of the surrounding lake and coastline.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbeef57881909245c8a5374a8111 completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a2465908190b69454f6215365b0 completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:33 p.m.