Triple

T14189033
Position Surface form Disambiguated ID Type / Status
Subject Maoming E351658 entity
Predicate borders P224 FINISHED
Object Zhanjiang E348242 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: Zhanjiang | Statement: [Maoming, borders, Zhanjiang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhanjiang
Context triple: [Maoming, borders, Zhanjiang]
  • A. Zhanjiang chosen
    Zhanjiang is a coastal city in southwestern Guangdong, China, known for its important port, maritime industries, and strategic location on the Leizhou Peninsula.
  • B. Maoming
    Maoming is a coastal city in southwestern Guangdong, China, known for its petrochemical industry and agricultural production, especially lychees and longans.
  • C. Jiangmen
    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.
  • D. 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.
  • E. Heyuan
    Heyuan is a prefecture-level city in northeastern Guangdong Province, China, known for its Hakka culture, abundant natural scenery, and large reservoir and river systems.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61de509881908967ef5031f2a8d9 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd32497780819092e2d2ffe2a9dcaf completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:03 a.m.