Triple

T3955094
Position Surface form Disambiguated ID Type / Status
Subject Huangshan E84956 entity
Predicate hasPeak P8205 FINISHED
Object Lotus Peak E402899 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: Lotus Peak | Statement: [Huangshan, hasPeak, Lotus Peak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lotus Peak
Context triple: [Huangshan, hasPeak, Lotus Peak]
  • A. Lotus Peak chosen
    Lotus Peak is the tallest and one of the most famous summits of China’s Huangshan (Yellow Mountain) range, renowned for its dramatic granite scenery and panoramic views.
  • B. Shillong Peak
    Shillong Peak is the highest point in Shillong, India, offering panoramic views of the city and surrounding hills and serving as a popular scenic lookout for visitors.
  • C. Tarak Ridge
    Tarak Ridge is a popular hiking and camping destination on Mount Mariveles in Bataan, Philippines, known for its challenging trails and scenic mountain and sea views.
  • D. Chittar Hill
    Chittar Hill is a prominent hill in Jodhpur, Rajasthan, best known as the site of the grand Umaid Bhawan Palace overlooking the city.
  • E. Borah Peak
    Borah Peak is the tallest mountain in Idaho, known for its rugged terrain and prominence in the Lost River Range.
  • 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_69aed934fbfc8190847068e4546de963 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef93d742c81908639c843193d78fd completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53ffc49f48190949d14113031dd85 completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:30 p.m.