Triple

T7084078
Position Surface form Disambiguated ID Type / Status
Subject Port of Guangzhou E165029 entity
Predicate cityServed P82 FINISHED
Object Jiangmen E219834 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: Jiangmen | Statement: [Port of Guangzhou, cityServed, Jiangmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jiangmen
Context triple: [Port of Guangzhou, cityServed, Jiangmen]
  • A. Jiangmen chosen
    Jiangmen is a coastal prefecture-level city in Guangdong Province, China, known as part of the Pearl River Delta economic region and historically as a major source of overseas Chinese emigration.
  • B. Zhanjiang
    Zhanjiang is a coastal city in southwestern Guangdong, China, known for its important port, maritime industries, and strategic location on the Leizhou Peninsula.
  • C. Jieyang
    Jieyang is a city in eastern Guangdong Province, China, known as part of the Chaoshan region where the Teochew people and their distinctive Teochew culture are prominent.
  • D. Huizhou
    Huizhou is a historic cultural and commercial region in southeastern China, famed for its distinctive Huizhou architecture, merchant culture, and influential role in the development of Huizhou (Xin'an) Neo-Confucianism.
  • E. Maoming
    Maoming is a coastal city in southwestern Guangdong, China, known for its petrochemical industry and agricultural production, especially lychees and longans.
  • 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_69c6887d98408190912b9580666b0c1d completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5102be08190bbde790bfa8fe9e2 completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b8cc838c8190b4da8f1ea13cbeb6 completed March 28, 2026, 11:17 a.m.
Created at: March 27, 2026, 2:40 p.m.