Triple

T17943595
Position Surface form Disambiguated ID Type / Status
Subject Penglai E448644 entity
Predicate famousFor P22 FINISHED
Object Penglai Pavilion NE NERFINISHED

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: Penglai Pavilion | Statement: [Penglai, famousFor, Penglai Pavilion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penglai Pavilion
Context triple: [Penglai, famousFor, Penglai Pavilion]
  • A. Penglai Pavilion chosen
    Penglai Pavilion is a famous ancient seaside pavilion complex in Penglai, Shandong, celebrated in Chinese legend as a fairyland where immortals were said to dwell.
  • B. Wenchang Pavilion
    Wenchang Pavilion is a traditional Chinese pavilion and cultural landmark in Xikou Town, known for its classical architecture and historical significance.
  • C. Lixia Pavilion
    Lixia Pavilion is a historic lakeside pavilion and scenic spot located on the shores of Daming Lake in Jinan, China.
  • D. Kuiwen Pavilion
    Kuiwen Pavilion is a historic Chinese library and cultural landmark in Qufu, renowned for its classical architecture and association with Confucian heritage.
  • E. Zuibai Pavilion
    Zuibai Pavilion is a historic Chinese lakeside pavilion renowned for its classical Jiangnan garden architecture and poetic cultural heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad97611c8190a861467ae51f6c48 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.