Triple

T14840617
Position Surface form Disambiguated ID Type / Status
Subject Xizhi District E348951 entity
Predicate borderedBy P224 FINISHED
Object Ruifang District E392007 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: Ruifang District | Statement: [Xizhi District, borderedBy, Ruifang District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruifang District
Context triple: [Xizhi District, borderedBy, Ruifang District]
  • A. Ruifang District chosen
    Ruifang District is a coastal and mountainous district in northeastern Taiwan known for its historic mining towns, scenic railways, and popular tourist spots like Jiufen and Shifen.
  • B. Fengshan District
    Fengshan District is an urban district in southern Kaohsiung, Taiwan, known for its cultural venues, historical sites, and role as a major residential and commercial area in the city.
  • C. Pingxi District
    Pingxi District is a rural, mountainous area in New Taipei City, Taiwan, famed for its historic coal-mining villages, scenic railway, and annual sky lantern festival.
  • D. Xinyi District
    Xinyi District is a modern commercial and financial hub of Taipei, Taiwan, known for its skyscrapers, luxury shopping, and vibrant nightlife.
  • E. Longyang District
    Longyang District is the central urban district and administrative seat of Baoshan City in Yunnan Province, China.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28e40f08190b309d8ac6404d2fc completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfd1a1b48190b3b69b2841f643a3 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 1:53 a.m.