Triple

T1626168
Position Surface form Disambiguated ID Type / Status
Subject Cui Hao E35148 entity
Predicate notableWork P4 FINISHED
Object 黃鶴樓 E5775 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: 黃鶴樓 | Statement: [Cui Hao, notableWork, 黃鶴樓]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 黃鶴樓
Context triple: [Cui Hao, notableWork, 黃鶴樓]
  • A. Yellow Crane Tower chosen
    Yellow Crane Tower is a historic and iconic Chinese pavilion in Wuhan, renowned for its classical architecture, cultural significance, and scenic views over the Yangtze River.
  • B. Wenchang Tower
    Wenchang Tower is a historic pavilion within Beijing’s Summer Palace complex, known for its traditional Chinese architectural style and scenic lakeside setting.
  • C. Huairen Hall
    Huairen Hall is a prominent building within Beijing’s Zhongnanhai leadership compound, historically used for important government meetings and state activities.
  • D. Longshan Temple
    Longshan Temple is a historic and richly decorated Buddhist and folk religion temple in Taipei, Taiwan, renowned as one of the city’s most important religious and cultural sites.
  • E. Yuelu Mountain
    Yuelu Mountain is a scenic and historic mountain area in Changsha, China, known for its ancient academy, temples, and natural landscapes.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909d2fbe881908451ecd363cc33b0 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58d12e808190a1319b1c87bcd22e completed March 8, 2026, 11:09 a.m.
Created at: March 4, 2026, 7:28 p.m.