Triple

T10694519
Position Surface form Disambiguated ID Type / Status
Subject Shiyan City E252098 entity
Predicate hasTourismAttraction P5121 FINISHED
Object Wudang Mountains E35121 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: Wudang Mountains | Statement: [Shiyan City, hasTourismAttraction, Wudang Mountains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wudang Mountains
Context triple: [Shiyan City, hasTourismAttraction, Wudang Mountains]
  • A. Wudang Mountains chosen
    The Wudang Mountains are a renowned Taoist sacred mountain range in central China, famous for its ancient temples, monasteries, and as a historic center of internal martial arts such as Tai Chi.
  • 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. Shenlong Mountain
    Shenlong Mountain is a scenic natural tourist destination in Guang’an, China, known for its mountainous landscapes and outdoor recreation.
  • D. Zao Mountains
    Zao Mountains is a volcanic mountain range in northeastern Japan known for its ski resorts, hot springs, and the crater lake Okama.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd39c3788190bb7cd0acf8b6efdd completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbad00f7c8819097566994307c4550 completed April 12, 2026, 2:32 p.m.
Created at: April 8, 2026, 9:11 p.m.