Triple

T14840614
Position Surface form Disambiguated ID Type / Status
Subject Xizhi District E348951 entity
Predicate borderedBy P224 FINISHED
Object Shenkeng District E443359 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: Shenkeng District | Statement: [Xizhi District, borderedBy, Shenkeng District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shenkeng District
Context triple: [Xizhi District, borderedBy, Shenkeng District]
  • A. Shenkeng District chosen
    Shenkeng District is a suburban district of New Taipei City in northern Taiwan, best known for its historic old street and specialty stinky tofu cuisine.
  • B. Shigu District
    Shigu District is an urban administrative district of Hengyang City in Hunan Province, China, known as one of its central built-up areas.
  • C. Daxi District
    Daxi District is a historic district in Taoyuan, Taiwan, known for its preserved old streets, traditional wooden architecture, and cultural heritage.
  • D. Duodao District
    Duodao District is an urban district under the jurisdiction of Jingmen City in Hubei Province, central China, known for its industrial and residential areas.
  • E. Echeng District
    Echeng District is an urban administrative district that serves as the central area of Ezhou City in Hubei 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_69fffee31b70819092d0583100a7101a completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:53 a.m.