Triple

T10003042
Position Surface form Disambiguated ID Type / Status
Subject Haikou E197372 entity
Predicate hasPort P35 FINISHED
Object Haikou New Port E835811 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: Haikou New Port | Statement: [Haikou, hasPort, Haikou New Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haikou New Port
Context triple: [Haikou, hasPort, Haikou New Port]
  • A. Haikou Port chosen
    Haikou Port is a major seaport and transportation hub in Haikou, Hainan, serving as a key gateway for passenger and cargo traffic between the island and mainland China.
  • B. Sanya Port
    Sanya Port is a major maritime hub and cruise terminal in Sanya, Hainan, serving as an important gateway for tourism and trade in southern China.
  • C. Beihai Port
    Beihai Port is a major seaport on the southern coast of China that serves as an important maritime gateway for trade in the Beibu Gulf region.
  • D. Futian Port
    Futian Port is a major land border crossing and transportation hub between Shenzhen, China and Hong Kong, facilitating significant passenger and cargo movement.
  • E. Nansha Port
    Nansha Port is a major deep-water seaport in Guangzhou, China, serving as a key container and logistics hub in the Pearl River Delta region.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcd12f6488190bd5257b5f65437cc completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a0034ec8190bd0a2a368441e44f completed April 5, 2026, 5:21 p.m.
Created at: March 30, 2026, 8:51 p.m.