Triple

T7854278
Position Surface form Disambiguated ID Type / Status
Subject Taian E182132 entity
Predicate hasFamousLandmark P22581 FINISHED
Object Mount Tai E142964 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: Mount Tai | Statement: [Taian, hasFamousLandmark, Mount Tai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Tai
Context triple: [Taian, hasFamousLandmark, Mount Tai]
  • A. Mount Tai chosen
    Mount Tai is one of China’s most famous and historically significant sacred mountains, revered in Chinese religion and culture for millennia.
  • B. Mount Taibai
    Mount Taibai is a prominent, often snow-capped mountain in central China known for its rich biodiversity, dramatic elevation changes, and cultural significance within the Qinling range.
  • C. Chihsing Mountain
    Chihsing Mountain is a volcanic peak in Yangmingshan National Park near Taipei, Taiwan, known as the highest mountain in the Taipei area and a popular hiking destination.
  • D. Tianzhu Peak
    Tianzhu Peak is the tallest summit of China’s Wudang Mountains, a range famed for its Taoist temples and martial arts heritage.
  • E. Taishan
    Taishan is a county-level city in Guangdong Province, China, known as the ancestral homeland of many overseas Chinese and for its coastal scenery and historic villages.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a72cfdc8190a3186c4c2894f571 completed March 31, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc639e0fd48190af995cb50f4555ff completed April 1, 2026, 12:15 a.m.
Created at: March 30, 2026, 4:51 p.m.