Triple

T17830609
Position Surface form Disambiguated ID Type / Status
Subject Wanhua District E445242 entity
Predicate borderedBy P224 FINISHED
Object Da’an 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: Da’an District | Statement: [Wanhua District, borderedBy, Da’an District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Da’an District
Context triple: [Wanhua District, borderedBy, Da’an District]
  • A. Da’an District chosen
    Da’an District is a central and affluent urban district in Taipei, Taiwan, known for its major commercial areas, universities, and the large Da’an Forest Park.
  • B. Da'an District
    Da'an District is an urban administrative district within the prefecture-level city of Zigong in Sichuan Province, China, known for its role in the region’s industrial and urban development.
  • C. Dawan District
    Dawan District is an administrative district in Klungkung Regency on the island of Bali, Indonesia.
  • D. Huadu District
    Huadu District is a suburban district in the northern part of Guangzhou, China, known for its growing urban development and transportation links, including metro and rail connections.
  • E. Yu’an District
    Yu’an District is an urban administrative district under the jurisdiction of Lu’an City in Anhui Province, China.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48917c4d88190b919a4b75aed011c completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.