Triple

T19989584
Position Surface form Disambiguated ID Type / Status
Subject Lower Hutt E494025 entity
Predicate hasSisterCity P919 FINISHED
Object Taizhou, China 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: Taizhou, China | Statement: [Lower Hutt, hasSisterCity, Taizhou, China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taizhou, China
Context triple: [Lower Hutt, hasSisterCity, Taizhou, China]
  • A. Taizhou
    Taizhou is a prefecture-level city in eastern China known for its historical heritage and location along the Yangtze River in Jiangsu province.
  • B. Taizhou chosen
    Taizhou is a coastal prefecture-level city in eastern China known for its manufacturing industry, port facilities, and location along the East China Sea.
  • C. Ningbo, China
    Ningbo, China is a major port city in eastern Zhejiang province known for its long maritime history and role as a key hub in regional and international trade.
  • D. Yuyao, Zhejiang, China
    Yuyao, in Zhejiang Province, China, is a historic county-level city renowned as the birthplace of the influential Ming dynasty philosopher and statesman Wang Yangming.
  • E. Hsiangcheng, China
    Hsiangcheng, China is a town in Henan Province known as the birthplace of author and social critic Os Guinness.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fdecf108190a5b215fd25bc4dda completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:30 p.m.