Triple

T6629210
Position Surface form Disambiguated ID Type / Status
Subject Presidential Range E149878 entity
Predicate contains P35 FINISHED
Object Mount Washington E102919 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 Washington | Statement: [Presidential Range, contains, Mount Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Washington
Context triple: [Presidential Range, contains, Mount Washington]
  • A. Mount Washington chosen
    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.
  • B. Mount Washington
    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.
  • C. Mount Washington
    Mount Washington is a prominent volcanic peak in the Cascade Range of Oregon, known for its sharply pointed summit and popular hiking and climbing routes.
  • D. Mount Washington
    Mount Washington is a prominent Pittsburgh neighborhood and hillside known for its dramatic skyline views and historic inclines overlooking the city and its rivers.
  • E. Mount Katahdin
    Mount Katahdin is the highest peak in Maine and a prominent mountain in Baxter State Park, renowned as the northern terminus of the Appalachian Trail and a central symbol of the state's rugged wilderness.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afa4a08481908cb5a554f388f32a completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e44f5f9c819088cfb4fd87887766 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:59 p.m.