Triple

T22569642
Position Surface form Disambiguated ID Type / Status
Subject Dongba religion E558043 entity
Predicate center P4751 FINISHED
Object Lijiang Old Town 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: Lijiang Old Town | Statement: [Dongba religion, center, Lijiang Old Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lijiang Old Town
Context triple: [Dongba religion, center, Lijiang Old Town]
  • A. Old Town of Lijiang chosen
    The Old Town of Lijiang is a well-preserved ancient Chinese town famed for its traditional Naxi architecture, intricate canal system, and historic role as a trading hub on the Tea Horse Road.
  • B. Lijiang
    Lijiang is a historic city in Yunnan, China, renowned for its well-preserved Old Town, diverse ethnic cultures, and scenic mountain landscapes.
  • C. Anchang Ancient Town
    Anchang Ancient Town is a historic water town in Shaoxing, China, known for its well-preserved traditional architecture, canals, and rich local culture.
  • D. Xin’an Ancient Town
    Xin’an Ancient Town is a historic riverside settlement in China known for its well-preserved traditional architecture, ancient streets, and cultural heritage.
  • E. Qingyan Ancient Town
    Qingyan Ancient Town is a well-preserved historic settlement in Guizhou, China, known for its traditional Ming and Qing dynasty architecture, stone-paved streets, and rich 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fac7db08190ba4660535571498d completed April 29, 2026, 1:32 a.m.
Created at: April 16, 2026, 8:52 p.m.