Triple

T3637946
Position Surface form Disambiguated ID Type / Status
Subject Shilin Night Market E77115 entity
Predicate region P40 FINISHED
Object Shilin E313956 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: Shilin | Statement: [Shilin Night Market, region, Shilin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shilin
Context triple: [Shilin Night Market, region, Shilin]
  • A. Xinyi
    Xinyi is a county-level city administered by Xuzhou in Jiangsu Province, eastern China.
  • B. Jiufen
    Jiufen is a historic hillside town in northern Taiwan famed for its narrow lantern-lit streets, teahouses, and scenic views over the Pacific Ocean.
  • C. Shilin District chosen
    Shilin District is a populous and historically rich administrative district in northern Taipei, Taiwan, known for its famous night market, cultural attractions, and educational institutions.
  • D. Nantou
    Nantou is a historic subdistrict in Shenzhen’s Nanshan District, known as the site of the old county seat and a preserved ancient town area.
  • E. Tainan
    Tainan is a historic city in southern Taiwan known for its well-preserved temples, traditional culture, and status as the island’s former capital.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc328e5e481909d26318c743bc84a completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b488320c58819088f8cc677f675ec3 completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:24 p.m.