Triple

T9417204
Position Surface form Disambiguated ID Type / Status
Subject San Francisco Mountain E227056 entity
Predicate contains P35 FINISHED
Object Agassiz Peak E851228 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: Agassiz Peak | Statement: [San Francisco Mountain, contains, Agassiz Peak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agassiz Peak
Context triple: [San Francisco Mountain, contains, Agassiz Peak]
  • A. Agassiz Peak chosen
    Agassiz Peak is one of the highest summits in Arizona, located in the San Francisco Peaks volcanic mountain range near Flagstaff.
  • B. Margherita Peak
    Margherita Peak is a prominent mountain summit in the Rwenzori Range of East Africa, renowned for its glaciated terrain and status as one of the continent’s highest points.
  • C. Hamlin Peak
    Hamlin Peak is a prominent subpeak of Maine’s Mount Katahdin, known for its alpine terrain and panoramic views within Baxter State Park.
  • D. Modjeska Peak
    Modjeska Peak is a prominent summit in Southern California known as one of the two high points of the Saddleback formation overlooking Orange County.
  • E. Disappointment Peak
    Disappointment Peak is a mountain summit in Grand Teton National Park in Wyoming, known for its challenging climbing routes and dramatic alpine scenery.
  • 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_69d74fa545b8819092809c605542476a completed April 9, 2026, 7:05 a.m.
Created at: March 30, 2026, 7:48 p.m.