Triple

T3101510
Position Surface form Disambiguated ID Type / Status
Subject Taconic Mountains E64729 entity
Predicate contains P35 FINISHED
Object Mount Everett E105308 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 Everett | Statement: [Taconic Mountains, contains, Mount Everett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Everett
Context triple: [Taconic Mountains, contains, Mount Everett]
  • A. Mount Foraker
    Mount Foraker is one of the highest and most prominent peaks in Alaska, located near Denali in the central Alaska Range.
  • B. Gannett Peak
    Gannett Peak is the tallest mountain in Wyoming, located in the remote Wind River Range and known for its challenging alpine climbing and extensive glaciers.
  • C. Mount Washington
    Mount Washington is a prominent peak in the White Mountains of New Hampshire, renowned for its extreme weather conditions and historic observatory at the summit.
  • D. Mount Washington chosen
    Mount Washington is a small, rural hilltown in southwestern Massachusetts known for its high elevation, extensive forests, and proximity to the Taconic Mountains and state parks.
  • E. Mount Whitney
    Mount Whitney is the tallest mountain in the contiguous United States, located in the Sierra Nevada range of eastern California.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada26c76ec81908d11f82be573c518 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b203809fac81908047b1139b13cb04 completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:03 p.m.