Triple

T19762159
Position Surface form Disambiguated ID Type / Status
Subject Ice Peak E474655 entity
Predicate hasEnglishName P3437 FINISHED
Object Ice Peak NE NERFINISHED

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: Ice Peak | Statement: [Ice Peak, hasEnglishName, Ice Peak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ice Peak
Context triple: [Ice Peak, hasEnglishName, Ice Peak]
  • A. Ice Peak chosen
    Ice Peak is the English translation of the Georgian name for Mount Kazbek, a prominent stratovolcano in the Caucasus Mountains.
  • B. Ice Mountain
    Ice Mountain is a regional bottled water brand in the United States known for its spring water sourced from Midwestern aquifers.
  • C. Passage Peak
    Passage Peak is a popular lookout on Hamilton Island in Australia's Whitsundays, known for its hiking trail and panoramic views over the surrounding islands and Coral Sea.
  • D. Aurora Peak
    Aurora Peak is one of the summits in the Sunday River area of western Maine, known for its forested terrain and mountain recreation opportunities.
  • E. Victory Peak
    Victory Peak is the highest mountain in the Tian Shan range of Central Asia, located on the border between Kyrgyzstan and China.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6532004d08190944234d35e74085b completed April 20, 2026, 4:24 p.m.
Created at: April 10, 2026, 1:48 p.m.