Triple

T9487701
Position Surface form Disambiguated ID Type / Status
Subject Traprock Ridge E228802 entity
Predicate contains P35 FINISHED
Object Ragged Mountain E774973 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: Ragged Mountain | Statement: [Traprock Ridge, contains, Ragged Mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ragged Mountain
Context triple: [Traprock Ridge, contains, Ragged Mountain]
  • A. Ragged Mountain chosen
    Ragged Mountain is a rugged traprock peak in central Connecticut known for its dramatic cliffs, scenic vistas, and popular hiking and climbing routes.
  • B. Savage Mountain
    Savage Mountain is the ominous nickname for K2, the world’s second-highest peak, renowned for its extreme difficulty and high fatality rate among climbers.
  • C. Greenhorn Mountain
    Greenhorn Mountain is a prominent peak in southern Colorado’s Wet Mountains range, known for its high elevation and expansive views over the surrounding landscape.
  • D. Old Rag Mountain
    Old Rag Mountain is a popular and rugged granite peak in Shenandoah National Park, renowned for its challenging rock scramble and panoramic views.
  • E. Back Mountain
    Back Mountain is a scenic area of China's Huangshan (Yellow Mountain) range, known for its dramatic granite peaks, ancient pine trees, and popular hiking 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c443b88190968d2092a73e1ee4 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69e712b2ff1081908ccf311e1133ab72 completed April 21, 2026, 6:01 a.m.
Created at: March 30, 2026, 7:55 p.m.