Triple

T17730190
Position Surface form Disambiguated ID Type / Status
Subject Mirror Lake Trail E442565 entity
Predicate trailheadNear P11755 FINISHED
Object Happy Isles area 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: Happy Isles area | Statement: [Mirror Lake Trail, trailheadNear, Happy Isles area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Happy Isles area
Context triple: [Mirror Lake Trail, trailheadNear, Happy Isles area]
  • 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. Small Isles
    The Small Isles are a picturesque archipelago off Scotland’s west coast, known for their rugged landscapes, wildlife, and remote island communities.
  • 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. Seahaven Island
    Seahaven Island is the meticulously controlled, fictional seaside town that serves as the enclosed setting of the reality TV world in the film "The Truman Show."
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e5ba7c81908f8b06eb6859067f completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 10:08 a.m.