Triple

T20499577
Position Surface form Disambiguated ID Type / Status
Subject Port of Lianyungang E503263 entity
Predicate ChineseName P744 FINISHED
Object 连云港港 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: 连云港港 | Statement: [Port of Lianyungang, ChineseName, 连云港港]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 连云港港
Context triple: [Port of Lianyungang, ChineseName, 连云港港]
  • A. Yancheng Port
    Yancheng Port is a coastal Chinese seaport serving the city of Yancheng in Jiangsu Province, supporting regional trade and maritime transport.
  • B. Fangchenggang Port
    Fangchenggang Port is a major deep-water seaport in Guangxi, southern China, serving as an important hub for regional trade and maritime transport near the border with Vietnam.
  • C. Port of Nantong
    The Port of Nantong is a major Chinese seaport and river port in Jiangsu Province, serving as an important hub for maritime and inland waterway trade near the Yangtze River’s entry into the East China Sea.
  • D. Port of Lianyungang chosen
    The Port of Lianyungang is a major Chinese seaport on the Yellow Sea that serves as a key logistics and trade hub linking eastern China with Central Asia and Europe.
  • E. Zhenjiang Port
    Zhenjiang Port is a major river port on the Yangtze River in Jiangsu Province, China, serving as an important hub for regional trade and transportation.
  • 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cc10cd08190915b6c29c6473f77 completed April 20, 2026, 9:38 p.m.
Created at: April 16, 2026, 11:35 a.m.