Triple

T17619334
Position Surface form Disambiguated ID Type / Status
Subject Khánh Hòa province E429666 entity
Predicate hasSeaport P3007 FINISHED
Object Cam Ranh Port 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: Cam Ranh Port | Statement: [Khánh Hòa province, hasSeaport, Cam Ranh Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cam Ranh Port
Context triple: [Khánh Hòa province, hasSeaport, Cam Ranh Port]
  • A. Cam Ranh chosen
    Cam Ranh is a coastal city in Khánh Hòa Province, Vietnam, known for its deep-water bay and strategic military and transportation significance.
  • B. 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.
  • C. Da Nang Port
    Da Nang Port is a major deep-water seaport in central Vietnam that serves as a key maritime gateway for trade and transportation in the region.
  • D. Cua Viet Port
    Cua Viet Port is a coastal seaport in central Vietnam that serves as a regional hub for maritime trade and transportation in Quang Tri Province.
  • E. Nha Trang Port
    Nha Trang Port is a coastal seaport in the city of Nha Trang, Vietnam, serving as a hub for maritime trade, fishing, and tourism in the South Central Coast region.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d3547d88190ae3c9ffed63133c9 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.