Triple

T6494891
Position Surface form Disambiguated ID Type / Status
Subject Long Trail E148131 entity
Predicate highestPoint P210 FINISHED
Object Mount Mansfield E182096 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 Mansfield | Statement: [Long Trail, highestPoint, Mount Mansfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Mansfield
Context triple: [Long Trail, highestPoint, Mount Mansfield]
  • A. Mount Mansfield chosen
    Mount Mansfield is the highest peak in Vermont and a prominent landmark known for its distinctive ridgeline that resembles a human profile.
  • B. Mount Fitzsimmons
    Mount Fitzsimmons is a prominent peak in British Columbia’s Coast Mountains, known for its rugged alpine terrain and popularity among climbers and backcountry skiers.
  • C. Mount Twynam
    Mount Twynam is one of the highest peaks in mainland Australia, located in the Snowy Mountains of New South Wales.
  • D. Mount Gaudry
    Mount Gaudry is the highest mountain on Adelaide Island off the coast of the Antarctic Peninsula.
  • E. Mount Tennent
    Mount Tennent is a prominent mountain in the Australian Capital Territory known for its popular hiking trails and panoramic views within the Namadgi National Park.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06ab7c0b8819091437a293b40dfd2 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9379e5898819083bece0d129fed5c completed March 29, 2026, 2:30 p.m.
Created at: March 22, 2026, 4:53 p.m.