Triple

T14064372
Position Surface form Disambiguated ID Type / Status
Subject Foshan E338426 entity
Predicate hasDistrict P459 FINISHED
Object Chancheng District E738191 NE FINISHED

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: Chancheng District | Statement: [Foshan, hasDistrict, Chancheng District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chancheng District
Context triple: [Foshan, hasDistrict, Chancheng District]
  • A. Chancheng District chosen
    Chancheng District is a central urban district of Foshan City in Guangdong Province, China, known as a commercial and cultural hub within the Pearl River Delta region.
  • B. Shuocheng District
    Shuocheng District is the central urban district and administrative heart of Shuozhou City in Shanxi Province, China.
  • C. Hecheng District
    Hecheng District is the central urban district and administrative seat of Huaihua in Hunan Province, China.
  • D. Chengguan District
    Chengguan District is the central urban district and administrative, commercial, and cultural core of Lanzhou, the capital of Gansu Province in northwestern China.
  • E. Chengguan District
    Chengguan District is the central urban district of Lhasa, serving as the political, economic, and cultural core of the Tibet Autonomous Region's capital city.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5689c7f48190a47ca94eaa8a9ef9 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fef883f2b88190807d9157e8d45e3c completed May 9, 2026, 9:04 a.m.
Created at: April 9, 2026, 10:21 p.m.