Triple

T18306725
Position Surface form Disambiguated ID Type / Status
Subject Sanxia District E438504 entity
Predicate borderedBy P224 FINISHED
Object Fuxing District 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: Fuxing District | Statement: [Sanxia District, borderedBy, Fuxing District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fuxing District
Context triple: [Sanxia District, borderedBy, Fuxing District]
  • A. Fuxing District chosen
    Fuxing District is a mountainous, largely indigenous and scenic administrative district in eastern Taoyuan City, Taiwan, known for its Atayal culture, hot springs, and natural attractions.
  • B. Fuxing District
    Fuxing District is an urban administrative district of Handan City in Hebei Province, China.
  • C. Tiexi District
    Tiexi District is an urban district and administrative division of the city of Anshan in Liaoning Province, northeastern China, known for its industrial base.
  • D. Yuzhou District
    Yuzhou District is an urban administrative district that serves as the central area of Yulin City in the Guangxi Zhuang Autonomous Region of China.
  • E. Lubei District
    Lubei District is an urban administrative district of the city of Tangshan in Hebei Province, China, known for its role in the region’s industrial and commercial activities.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021519a481908a9b6561946f1c65 completed April 19, 2026, 4:25 p.m.
Created at: April 10, 2026, 10:35 a.m.