Triple

T16968726
Position Surface form Disambiguated ID Type / Status
Subject Reinier E411608 entity
Predicate relatedName P3889 FINISHED
Object Rainier E839676 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: Rainier | Statement: [Reinier, relatedName, Rainier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rainier
Context triple: [Reinier, relatedName, Rainier]
  • A. Rainier chosen
    Rainier is a masculine given name most famously borne by Rainier III, the longtime Prince of Monaco.
  • B. Mount Rainier
    Mount Rainier is a massive glaciated stratovolcano in Washington State and one of the most prominent and potentially hazardous volcanoes in the United States.
  • C. Mount Baker
    Mount Baker is an active glaciated stratovolcano in the North Cascades of Washington State, known for its heavy snowfall and prominent, snow-covered peak.
  • D. Mount Madison
    Mount Madison is one of New Hampshire’s Presidential Range peaks in the White Mountains, popular with hikers for its rugged alpine terrain and panoramic views.
  • E. Mount Logan (Washington)
    Mount Logan is a prominent glaciated peak in North Cascades National Park in Washington State, known for its rugged terrain and remote alpine setting.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0a86c64819092831f8ddf1e536b completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc09386c819088bdb2548f3fb5c8 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:31 a.m.