Triple

T7558316
Position Surface form Disambiguated ID Type / Status
Subject Pieter Lassen E178728 entity
Predicate hasAssociatedPlace P19735 FINISHED
Object Lassen Peak E33791 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: Lassen Peak | Statement: [Pieter Lassen, hasAssociatedPlace, Lassen Peak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lassen Peak
Context triple: [Pieter Lassen, hasAssociatedPlace, Lassen Peak]
  • A. Lassen Peak chosen
    Lassen Peak is a prominent active volcano in Northern California known for its 1914–1921 eruptions and status as one of the southernmost major peaks in the Cascade Range.
  • B. Mount Diablo
    Mount Diablo is a prominent peak in the Diablo Range of the eastern San Francisco Bay Area in California, known for its extensive panoramic views and significance as a surveying reference point.
  • C. Noe Peak
    Noe Peak is one of the two summits that form the iconic Twin Peaks hills overlooking San Francisco, California.
  • D. Mount Shasta
    Mount Shasta is a prominent, snow-capped stratovolcano in the Cascade Range renowned for its striking prominence, outdoor recreation, and spiritual significance.
  • E. Monte Sereno
    Monte Sereno is a small, affluent residential city in California’s Silicon Valley, known for its wooded hillsides, low-density housing, and lack of commercial development.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8db3d508190850ed41854d69838 completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861579b048190a67f33cb87791e8b completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:50 p.m.