Triple

T17349315
Position Surface form Disambiguated ID Type / Status
Subject Constance E421763 entity
Predicate hasTwinTown P919 FINISHED
Object Suzhou, China NE ONNED1

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: Suzhou, China | Statement: [Constance, hasTwinTown, Suzhou, China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suzhou, China
Context triple: [Constance, hasTwinTown, Suzhou, China]
  • A. Suzhou chosen
    Suzhou is a historic and economically significant city in eastern China, renowned for its classical gardens, canals, and silk industry.
  • B. Hsiangcheng, China
    Hsiangcheng, China is a town in Henan Province known as the birthplace of author and social critic Os Guinness.
  • C. Suzhou, Jiangsu, Republic of China
    Suzhou, Jiangsu, Republic of China, is a historic city in eastern China renowned for its classical gardens, canals, and rich cultural heritage.
  • D. Suzhou New District
    Suzhou New District is a major high-tech industrial and development zone in Suzhou, China, known for its advanced manufacturing, technology enterprises, and modern infrastructure.
  • E. Wuxi
    Wuxi is a major industrial and cultural city in eastern China, located near Lake Tai and known for its manufacturing, canals, and historic gardens.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2af5f88190b4c292ca30993b36 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01955658b88190bce3fb2b5738afc6 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.