Triple

T17548537
Position Surface form Disambiguated ID Type / Status
Subject Garhwal Himalaya E427391 entity
Predicate hasPeak P8205 FINISHED
Object Meru 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: Meru Peak | Statement: [Garhwal Himalaya, hasPeak, Meru Peak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meru Peak
Context triple: [Garhwal Himalaya, hasPeak, Meru Peak]
  • A. Meru Peak chosen
    Meru Peak is a prominent and technically challenging Himalayan mountain in the Indian Garhwal region, renowned among climbers for its steep granite faces and difficult ascents.
  • B. Rysy summit
    Rysy summit is a prominent peak in the High Tatras on the Polish–Slovak border, renowned as a popular and scenic high-altitude hiking destination.
  • C. Gondogoro Peak
    Gondogoro Peak is a high mountain in Pakistan’s Karakoram range, popular with trekkers and climbers for its challenging ascent and views of nearby 8,000-meter giants.
  • D. Shkhara
    Shkhara is a prominent peak in the Greater Caucasus mountain range, known as one of the highest and most challenging mountains in the region.
  • E. University Peak
    University Peak is a prominent mountain in Alaska's Saint Elias Range, known for its steep relief and challenging climbing routes.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454631e148190a1d46a6ecb79c71a completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:49 a.m.