Triple

T17619220
Position Surface form Disambiguated ID Type / Status
Subject Nha Trang E429664 entity
Predicate hasAttraction P105 FINISHED
Object Nha Trang Beach 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: Nha Trang Beach | Statement: [Nha Trang, hasAttraction, Nha Trang Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nha Trang Beach
Context triple: [Nha Trang, hasAttraction, Nha Trang Beach]
  • A. Nha Trang Beach chosen
    Nha Trang Beach is a famous Vietnamese coastal destination known for its long sandy shoreline, clear turquoise waters, and vibrant resort and nightlife scene.
  • B. Ao Nang Beach
    Ao Nang Beach is a popular tourist beach in Krabi, Thailand, known for its scenic limestone cliffs, soft sand, and role as a gateway to nearby islands.
  • C. Tuy Hòa Beach
    Tuy Hòa Beach is a long, tranquil stretch of coastline in south-central Vietnam known for its gentle waves, clean sands, and relatively undeveloped, laid-back atmosphere.
  • D. Ninh Chữ Beach
    Ninh Chữ Beach is a scenic coastal destination in Vietnam known for its long sandy shoreline, clear waters, and suitability for swimming and water sports.
  • E. Do Son Beach
    Do Son Beach is a popular coastal resort area in northern Vietnam known for its sandy shoreline, seaside tourism, and proximity to the port city of Hai Phong.
  • 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.