Triple

T18014985
Position Surface form Disambiguated ID Type / Status
Subject Longji Rice Terraces E430977 entity
Predicate locatedIn P40 FINISHED
Object Guilin 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: Guilin | Statement: [Longji Rice Terraces, locatedIn, Guilin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guilin
Context triple: [Longji Rice Terraces, locatedIn, Guilin]
  • A. Guilin chosen
    Guilin is a scenic city in southern China’s Guangxi region, famed for its dramatic karst mountains and picturesque Li River landscapes.
  • B. Zhangjiajie
    Zhangjiajie is a scenic city in northwestern Hunan Province, China, famed for its towering sandstone pillars and dramatic national forest park that inspired the floating mountains in the film "Avatar."
  • C. Wuzhou
    Wuzhou is a prefecture-level city in eastern Guangxi, China, known as a regional transport hub and commercial center along the Xi River.
  • D. Luyang
    Luyang is a historic name associated with the city of Hefei, the capital of Anhui Province in eastern China.
  • E. Baise City
    Baise City is a prefecture-level city in western Guangxi, China, known for its mountainous karst landscapes, border location near Vietnam, and significant role in regional agriculture and hydropower.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b522e84c8190a03f6445df9f5ac8 completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.