Triple

T14978451
Position Surface form Disambiguated ID Type / Status
Subject Taohuayuan (Peach Blossom Spring) scenic area E373512 entity
Predicate ChineseName P744 FINISHED
Object 桃花源风景区 E373512 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: 桃花源风景区 | Statement: [Taohuayuan (Peach Blossom Spring) scenic area, ChineseName, 桃花源风景区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 桃花源风景区
Context triple: [Taohuayuan (Peach Blossom Spring) scenic area, ChineseName, 桃花源风景区]
  • A. Taohuayuan (Peach Blossom Spring) scenic area chosen
    Taohuayuan (Peach Blossom Spring) scenic area is a famous tourist destination in Changde, Hunan, inspired by Tao Yuanming’s classic fable and known for its idyllic landscapes, cultural heritage, and poetic atmosphere.
  • B. 武当山
    武当山是位于中国湖北省的著名道教名山和世界文化遗产，以其古建筑群和武当武术而闻名。
  • C. 本栖湖
    本栖湖は、富士五湖の一つとして知られる山梨県の淡水湖で、透明度の高い湖水と富士山を望む景観で有名な観光地です。
  • D. 颐和园
    颐和园是位于北京市西北部、以宏伟的皇家园林建筑和昆明湖、万寿山自然景观著称的世界文化遗产。
  • E. Shaoshan Scenic Area
    Shaoshan Scenic Area is a famous red tourism destination in Hunan, China, centered around the birthplace and memorial sites of Mao Zedong amid a mountainous rural landscape.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6fbd138819092254ea37388026c completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8beca6d88190a0c1adb18c9f2ac4 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:51 a.m.