Triple

T7840920
Position Surface form Disambiguated ID Type / Status
Subject Zhangjiajie E181799 entity
Predicate hasTouristAttraction P530 FINISHED
Object Tianzi Mountain E621667 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: Tianzi Mountain | Statement: [Zhangjiajie, hasTouristAttraction, Tianzi Mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tianzi Mountain
Context triple: [Zhangjiajie, hasTouristAttraction, Tianzi Mountain]
  • A. Tianzi Mountain chosen
    Tianzi Mountain is a striking sandstone peak area in China's Hunan Province, famed for its towering pillar-like formations, misty vistas, and inspiration for fantastical mountain landscapes in popular culture.
  • B. Tianshou Mountain
    Tianshou Mountain is a notable mountain in China, recognized for its scenic landscapes and cultural significance.
  • C. Beigu Mountain
    Beigu Mountain is a scenic and historically significant hill in Zhenjiang, China, known for its temples, cultural relics, and views over the Yangtze River.
  • D. Xuedou Mountain
    Xuedou Mountain is a scenic and historically significant mountain area in Zhejiang Province, China, known for its Buddhist temples, waterfalls, and natural beauty.
  • E. Xiaohaituo Mountain
    Xiaohaituo Mountain is a peak in Beijing’s Yanqing District that gained prominence as the mountainous backdrop and location for key venues of the 2022 Winter Olympics.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c589748190b34d0911d373e194 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdf0394348190b5928ffb9e3df45e completed March 31, 2026, 2:49 p.m.
Created at: March 30, 2026, 4:47 p.m.