Triple

T343446
Position Surface form Disambiguated ID Type / Status
Subject W (Hollywood Sign letter) E6886 entity
Predicate location P40 FINISHED
Object Mount Lee E27606 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: Mount Lee | Statement: [W (Hollywood Sign letter), location, Mount Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Lee
Context triple: [W (Hollywood Sign letter), location, Mount Lee]
  • A. Mount Lee chosen
    Mount Lee is a hill in the Hollywood Hills of Los Angeles best known as the site overlooking the iconic Hollywood Sign.
  • B. Mount Catherine
    Mount Catherine is the highest mountain in Egypt, located in the southern Sinai Peninsula and known for its rugged terrain and religious significance.
  • C. Mount Ainslie
    Mount Ainslie is a prominent hill in Canberra, Australia, known for its popular lookout offering panoramic views over the city and its surrounding landscape.
  • D. Star Mountain
    Star Mountain is the English translation of the Nahuatl name for Pico de Orizaba, the highest volcano in North America and a prominent peak in Mexico.
  • E. Mount Lyell
    Mount Lyell is a prominent, glacier-clad peak in the Sierra Nevada of California, renowned as the tallest mountain in Yosemite National Park and a popular destination for experienced climbers.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eb0019088190a9b969c4287dc4fa completed Feb. 28, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3faf97ad881909de5876adb0e8d84 completed March 1, 2026, 8:38 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.