Triple

T14821365
Position Surface form Disambiguated ID Type / Status
Subject Daba Mountains E348459 entity
Predicate highestPeak P1674 FINISHED
Object Shennongding E404172 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: Shennongding | Statement: [Daba Mountains, highestPeak, Shennongding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shennongding
Context triple: [Daba Mountains, highestPeak, Shennongding]
  • A. Tuizhi
    Tuizhi is the courtesy name of Han Yu, a prominent Tang dynasty Confucian scholar, essayist, and poet known for advocating classical prose.
  • B. Qianfoshan
    Qianfoshan is a famous scenic mountain in Jinan, China, renowned for its numerous ancient Buddhist statues and temples.
  • C. Gaotangling
    Gaotangling is the town that serves as the administrative seat and political center of Wangcheng County in Hunan Province, China.
  • D. Tiantongyuan
    Tiantongyuan is a large residential neighborhood in northern Beijing, China, known for its dense population and extensive apartment complexes.
  • E. Tiantangzhai chosen
    Tiantangzhai is a prominent scenic mountain peak and nature reserve in central China, known for its rich biodiversity, forested landscapes, and status as a popular ecotourism destination.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe64328819083ce42704cf0602d completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389bc06c8190a8269c07677d9c35 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:50 a.m.