Triple

T9886973
Position Surface form Disambiguated ID Type / Status
Subject Xikou Town E180956 entity
Predicate near P350 FINISHED
Object Xuedou Mountain E676039 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: Xuedou Mountain | Statement: [Xikou Town, near, Xuedou Mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xuedou Mountain
Context triple: [Xikou Town, near, Xuedou Mountain]
  • A. Xuedou Mountain chosen
    Xuedou Mountain is a scenic and historically significant mountain area in Zhejiang Province, China, known for its Buddhist temples, waterfalls, and natural beauty.
  • B. Wuzhi Mountain
    Wuzhi Mountain is a prominent, five-peaked mountain in Hainan, China, renowned as the island’s highest point and a symbol of its natural landscape.
  • 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. Yunling Mountain
    Yunling Mountain is a prominent mountain range in Yunnan, China, known for its dramatic terrain, rich biodiversity, and role as part of the ecologically significant Three Parallel Rivers region.
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb457c8cc81909d211d5882228076 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d22891cb4c8190b4d378749599bdda completed April 5, 2026, 9:17 a.m.
Created at: March 30, 2026, 8:39 p.m.