Triple

T5971621
Position Surface form Disambiguated ID Type / Status
Subject Wushe E132886 entity
Predicate locatedNear P294 FINISHED
Object Hehuanshan E539978 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: Hehuanshan | Statement: [Wushe, locatedNear, Hehuanshan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hehuanshan
Context triple: [Wushe, locatedNear, Hehuanshan]
  • A. Hehuanshan chosen
    Hehuanshan is a high-altitude mountain and popular scenic area in Taiwan, known for its alpine landscapes, hiking trails, and seasonal snow.
  • B. Wanshou Shan
    Wanshou Shan, also known as Longevity Hill, is a prominent, scenic hill within Beijing’s Summer Palace complex, famed for its historic temples, pavilions, and panoramic views over Kunming Lake.
  • C. Wutong Mountain
    Wutong Mountain is a prominent scenic peak in Shenzhen, China, known for its hiking trails, lush forests, and panoramic views over the city and coastline.
  • D. 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.
  • E. Tianshou Mountain
    Tianshou Mountain is a notable mountain in China, recognized for its scenic landscapes and cultural significance.
  • 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c049ff0eec8190834f77bafae943ce completed March 22, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e40a67bc8190a57884f7c6aa1b9d completed March 23, 2026, 6:56 a.m.
Created at: March 22, 2026, 4:03 p.m.