Triple

T16596856
Position Surface form Disambiguated ID Type / Status
Subject Yellow Mountain E403229 entity
Predicate hasPeak P8205 FINISHED
Object Celestial Capital Peak E402900 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: Celestial Capital Peak | Statement: [Yellow Mountain, hasPeak, Celestial Capital Peak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Celestial Capital Peak
Context triple: [Yellow Mountain, hasPeak, Celestial Capital Peak]
  • A. Celestial Capital Peak chosen
    Celestial Capital Peak is one of the most famous and steeply dramatic summits of China’s Huangshan (Yellow Mountain) scenic area, renowned for its rugged cliffs and panoramic views.
  • B. Starlight Peak
    Starlight Peak is a prominent fourteener in California’s Sierra Nevada, known for its rugged granite terrain and challenging climbing routes.
  • C. Messix Peak
    Messix Peak is the highest summit in Utah’s Promontory Mountains, notable as the range’s most prominent elevation.
  • 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 (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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d723c508190b5afbda5eec5abea completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00759fe6ec81908c5321dcba558269 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:16 a.m.