Triple

T4398052
Position Surface form Disambiguated ID Type / Status
Subject Manchester, Vermont E99540 entity
Predicate near P350 FINISHED
Object Mount Equinox E354234 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 Equinox | Statement: [Manchester, Vermont, near, Mount Equinox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Equinox
Context triple: [Manchester, Vermont, near, Mount Equinox]
  • A. Mount Equinox chosen
    Mount Equinox is a prominent peak in southwestern Vermont known for its scenic views, hiking trails, and status as the tallest mountain in the Taconic Range.
  • B. Mount Twynam
    Mount Twynam is one of the highest peaks in mainland Australia, located in the Snowy Mountains of New South Wales.
  • C. Mount Curwood
    Mount Curwood is a prominent peak in Michigan’s remote Huron Mountains, known as one of the state’s highest natural elevations.
  • D. Mount Cirphis
    Mount Cirphis is a mountain in the ancient Greek region of Phocis, near Delphi, known from classical geography and mythology.
  • E. Mount Wister
    Mount Wister is a prominent mountain peak in Wyoming’s Teton Range, known for its rugged terrain and challenging climbing routes.
  • 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352adce588190b9e6ed53458aa1e1 completed March 12, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfd42f73b88190bb69bffa6a8b9efe completed March 22, 2026, 11:36 a.m.
Created at: March 12, 2026, 11:20 p.m.