Triple

T6888285
Position Surface form Disambiguated ID Type / Status
Subject Dongying E158976 entity
Predicate hasPort P35 FINISHED
Object Dongying Port E453072 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: Dongying Port | Statement: [Dongying, hasPort, Dongying Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dongying Port
Context triple: [Dongying, hasPort, Dongying Port]
  • A. Port of Dongying chosen
    The Port of Dongying is a coastal commercial and industrial seaport in Dongying, Shandong Province, serving as a key outlet for the region’s petrochemical and bulk cargo trade.
  • B. Rizhao Port
    Rizhao Port is a major deep-water seaport on the coast of Shandong Province in eastern China, serving as an important hub for bulk cargo and international trade.
  • C. Yantai Port
    Yantai Port is a major seaport city and shipping hub on the Bohai Sea coast in northeastern Shandong Province, China.
  • D. Huangdao Oil Port
    Huangdao Oil Port is a major crude oil and petroleum terminal in Qingdao, China, serving as a key hub for energy imports and storage along the Yellow Sea coast.
  • E. Port of Lianyungang
    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.
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d9101e30819084695ba0003a255c completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742e71bcc81908231a861be47b7db completed March 28, 2026, 2:54 a.m.
Created at: March 27, 2026, 2:23 p.m.