Triple

T1344120
Position Surface form Disambiguated ID Type / Status
Subject Hai Phong E28530 entity
Predicate hasPort P35 FINISHED
Object Hai Phong Port E28530 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: Hai Phong Port | Statement: [Hai Phong, hasPort, Hai Phong Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hai Phong Port
Context triple: [Hai Phong, hasPort, Hai Phong Port]
  • A. Saigon Port
    Saigon Port is a major commercial and container port in Ho Chi Minh City, Vietnam, serving as one of the country’s key gateways for maritime trade.
  • B. Hai Phong chosen
    Hai Phong is a major port city in northern Vietnam known for its industrial economy and coastal location.
  • C. Tien Sa Port
    Tien Sa Port is a major deep-water seaport in Da Nang, Vietnam, serving as a key hub for cargo shipping and cruise tourism in the central region.
  • D. Ninh Kieu Wharf
    Ninh Kieu Wharf is a famous riverside promenade and tourist hub in Can Tho, Vietnam, known for its scenic views, floating markets, and vibrant nightlife along the Hau River.
  • E. Yantai Port
    Yantai Port is a major seaport city and shipping hub on the Bohai Sea coast in northeastern Shandong Province, China.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23b8a9081908b78405d4ef806af completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd47917d88190a13d7705f09c0b58 completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:56 p.m.