Triple

T21362085
Position Surface form Disambiguated ID Type / Status
Subject Tsukuba E526806 entity
Predicate hasSisterCity P919 FINISHED
Object Qingdao 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: Qingdao | Statement: [Tsukuba, hasSisterCity, Qingdao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qingdao
Context triple: [Tsukuba, hasSisterCity, Qingdao]
  • A. Qingdao chosen
    Qingdao is a major coastal city in eastern China known for its port, beaches, German colonial architecture, and Tsingtao Brewery.
  • B. 青島
    青島 is a small Japanese island best known for its large population of semi-feral cats that attract many tourists.
  • C. Weihai
    Weihai is a coastal city in eastern China known for its strategic location on the Yellow Sea, maritime history, and role as a major port and tourist destination.
  • D. Yantai
    Yantai is a coastal city in Shandong Province, China, known for its port, wine production, and scenic beaches along the Bohai Sea.
  • E. Jiaozhou
    Jiaozhou is a county-level city under Qingdao in Shandong Province, China, known as a regional transport hub and industrial center on the Jiaozhou Bay.
  • 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b06b219c81908f7674ae459e7931 completed April 22, 2026, 11:26 a.m.
Created at: April 16, 2026, 5:08 p.m.