Triple

T9417205
Position Surface form Disambiguated ID Type / Status
Subject San Francisco Mountain E227056 entity
Predicate contains P35 FINISHED
Object Fremont Peak E124947 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: Fremont Peak | Statement: [San Francisco Mountain, contains, Fremont Peak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fremont Peak
Context triple: [San Francisco Mountain, contains, Fremont Peak]
  • A. Fremont Peak chosen
    Fremont Peak is a prominent mountain summit in central California known for its panoramic views, state park, and historical significance to early explorers.
  • B. Fremont Peak
    Fremont Peak is a mountain summit located in Fremont County, Colorado, known as part of the southern Rocky Mountains.
  • C. Kaufmann Peak
    Kaufmann Peak is a mountain summit located within the high-altitude Pamir mountain range of Central Asia.
  • D. Throop Peak
    Throop Peak is a prominent high-elevation summit in Southern California’s San Gabriel Mountains, popular with hikers for its panoramic views and alpine scenery.
  • E. Tahquitz Peak
    Tahquitz Peak is a prominent granite summit in Southern California known for its scenic hiking trails and historic rock climbing routes overlooking the town of Idyllwild.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68cb4be08190a47f901a9703f9db completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58a50d0748190a429af33cdced80a completed April 20, 2026, 2:07 a.m.
Created at: March 30, 2026, 7:48 p.m.