Triple

T23434725
Position Surface form Disambiguated ID Type / Status
Subject Port of Huanghua E563425 entity
Predicate UNLOCODE P1800 FINISHED
Object CNHUA
CNHUA is the UN/LOCODE identifying the Port of Huanghua, a major Chinese seaport used in international trade and logistics.
E1585432 NE FINISHED

How this triple was built (4 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: CNHUA | Statement: [Port of Huanghua, UNLOCODE, CNHUA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNHUA
Context triple: [Port of Huanghua, UNLOCODE, CNHUA]
  • A. CNH
    CNH is the offshore-traded version of China’s currency, the yuan, used primarily in international markets outside mainland China.
  • B. Zhongyuan Guanhua
    Zhongyuan Guanhua is a major dialect group of Mandarin Chinese spoken primarily in China’s Central Plains region, including parts of Henan, Shanxi, Shaanxi, and surrounding areas.
  • C. CN-HL
    CN-HL is the ISO 3166-2 subdivision code assigned to Heilongjiang Province in northeastern China.
  • D. Hengchi
    Hengchi is an electric vehicle brand developed by the Chinese conglomerate Evergrande Group as part of its push into the new energy automotive industry.
  • E. Zhongxun
    Zhongxun is the given name of Xi Zhongxun, a prominent Chinese Communist revolutionary and senior political leader.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CNHUA
Triple: [Port of Huanghua, UNLOCODE, CNHUA]
Generated description
CNHUA is the UN/LOCODE identifying the Port of Huanghua, a major Chinese seaport used in international trade and logistics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CNHUA
Target entity description: CNHUA is the UN/LOCODE identifying the Port of Huanghua, a major Chinese seaport used in international trade and logistics.
  • A. CNH
    CNH is the offshore-traded version of China’s currency, the yuan, used primarily in international markets outside mainland China.
  • B. Zhongyuan Guanhua
    Zhongyuan Guanhua is a major dialect group of Mandarin Chinese spoken primarily in China’s Central Plains region, including parts of Henan, Shanxi, Shaanxi, and surrounding areas.
  • C. CN-HL
    CN-HL is the ISO 3166-2 subdivision code assigned to Heilongjiang Province in northeastern China.
  • D. Hengchi
    Hengchi is an electric vehicle brand developed by the Chinese conglomerate Evergrande Group as part of its push into the new energy automotive industry.
  • E. Zhongxun
    Zhongxun is the given name of Xi Zhongxun, a prominent Chinese Communist revolutionary and senior political leader.
  • F. None of above. chosen

Provenance (5 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5daabcc819094446a80723a487b completed April 29, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67af2b4081909384d5967cf2672a completed May 19, 2026, 1:37 p.m.
NEDg Description generation batch_6a0c72171580819097c9f287d501ae7e completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c76c54ba08190be8f46bacb22b6a3 completed May 19, 2026, 2:42 p.m.
Created at: April 17, 2026, 5:49 p.m.