Triple

T22826788
Position Surface form Disambiguated ID Type / Status
Subject Taroko National Park E565681 entity
Predicate highestPoint P210 FINISHED
Object Nanhu Mountain NE NERFINISHED

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: Nanhu Mountain | Statement: [Taroko National Park, highestPoint, Nanhu Mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanhu Mountain
Context triple: [Taroko National Park, highestPoint, Nanhu Mountain]
  • A. Nanhu Mountain chosen
    Nanhu Mountain is one of Taiwan’s prominent high peaks, renowned for its rugged alpine terrain, glacial cirques, and panoramic views within the Central Mountain Range.
  • B. Xiqiao Mountain
    Xiqiao Mountain is a famous scenic and cultural mountain area in Foshan, Guangdong, known for its volcanic landscape, lush greenery, and large statue of the Buddhist goddess Guanyin.
  • C. Lianhua Mountain
    Lianhua Mountain is a notable scenic hill in Shenzhen, China, known for its panoramic city views, green spaces, and cultural landmarks.
  • D. Tianshou Mountain
    Tianshou Mountain is a notable mountain in China, recognized for its scenic landscapes and cultural significance.
  • E. Luofu Mountain
    Luofu Mountain is a famous scenic and cultural mountain area in Guangdong, China, known for its Taoist heritage, lush landscapes, and historic temples.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2832b8819091c1dfd2cd598b90 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:34 p.m.