Triple

T17808245
Position Surface form Disambiguated ID Type / Status
Subject Peter Veeder E444623 entity
Predicate hasNotableEponym P56375 FINISHED
Object Mount Veeder NE NERFINISHED

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 Veeder | Statement: [Peter Veeder, hasNotableEponym, Mount Veeder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Veeder
Context triple: [Peter Veeder, hasNotableEponym, Mount Veeder]
  • A. Mount Veeder chosen
    Mount Veeder is a mountain in the Mayacamas range of Northern California, known for its steep, rugged terrain and as the namesake of a prominent Napa Valley winegrowing region.
  • B. Mount Emmons
    Mount Emmons is a prominent peak in Utah’s Uinta Mountains, known as one of the higher summits in the range and a significant destination for backcountry hikers and climbers.
  • 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 Keen
    Mount Keen is a prominent Scottish mountain in the Grampian range, known as the most easterly Munro and a popular hiking destination.
  • E. Mount Frissell
    Mount Frissell is a peak in the Taconic Mountains best known for having a shoulder that marks the highest elevation point in the state of Connecticut.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e488779a3081908405eac4930a095f completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.