Triple

T17477582
Position Surface form Disambiguated ID Type / Status
Subject Bình Định province E425577 entity
Predicate hasPort P35 FINISHED
Object Quy Nhơn 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: Quy Nhơn Port | Statement: [Bình Định province, hasPort, Quy Nhơn Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quy Nhơn Port
Context triple: [Bình Định province, hasPort, Quy Nhơn Port]
  • A. Quy Nhơn Port chosen
    Quy Nhơn Port is a major seaport in central Vietnam that serves as a key hub for regional trade, transportation, and maritime activities in and around the city of Quy Nhơn.
  • B. Cua Lo Port
    Cua Lo Port is a coastal seaport in north-central Vietnam that serves as a key maritime gateway for Nghe An Province and the surrounding region.
  • C. Okha Port
    Okha Port is a coastal port town in the Indian state of Gujarat, serving as a key maritime hub and gateway to nearby islands and trade routes in the Arabian Sea.
  • D. 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.
  • E. Map Ta Phut Port
    Map Ta Phut Port is a major deep-sea industrial port in Thailand that serves as a key hub for petrochemical and heavy industry trade on the country’s eastern seaboard.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bd865081909b5f84405c40ff14 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.