Triple

T4252697
Position Surface form Disambiguated ID Type / Status
Subject Cheshire County, New Hampshire E95892 entity
Predicate hasMountain P10602 FINISHED
Object Mount Monadnock E308325 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 Monadnock | Statement: [Cheshire County, New Hampshire, hasMountain, Mount Monadnock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Monadnock
Context triple: [Cheshire County, New Hampshire, hasMountain, Mount Monadnock]
  • A. Mount Monadnock chosen
    Mount Monadnock is a prominent isolated mountain in southwestern New Hampshire, renowned for its extensive hiking trails and status as one of the most frequently climbed peaks in the world.
  • B. Mount Harvard
    Mount Harvard is one of Colorado's highest fourteeners, a prominent peak in the Rocky Mountains popular with climbers and hikers.
  • C. Mount Wachusett
    Mount Wachusett is a prominent mountain in central Massachusetts known for its state reservation, hiking trails, and popular ski area.
  • D. Camel’s Hump
    Camel’s Hump is a prominent, undeveloped mountain peak in Vermont known for its distinctive double-humped profile and popular hiking trails.
  • E. Mount Greylock
    Mount Greylock is a prominent peak in the Berkshires known for its scenic vistas, hiking trails, and historic Veterans War Memorial Tower.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ebc98e08190915ac309a51ef87f completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7151108819082b2f37945d6139e completed March 14, 2026, 8:37 p.m.
Created at: March 12, 2026, 11:06 p.m.