Triple

T17619299
Position Surface form Disambiguated ID Type / Status
Subject Quảng Nam province E429665 entity
Predicate historicRegion P915 FINISHED
Object Quảng Nam Đà Nẵng 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: Quảng Nam Đà Nẵng | Statement: [Quảng Nam province, historicRegion, Quảng Nam Đà Nẵng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quảng Nam Đà Nẵng
Context triple: [Quảng Nam province, historicRegion, Quảng Nam Đà Nẵng]
  • A. Quảng Nam province chosen
    Quảng Nam province is a coastal province in central Vietnam known for its historic trading port of Hội An, the Mỹ Sơn temple complex, and a mix of mountainous and lowland landscapes.
  • B. Da Nang Province
    Da Nang Province is a coastal region in central Vietnam known for its beaches, modern cityscape, and role as a major economic and tourism hub.
  • C. Da Nang
    Da Nang is a major coastal city in central Vietnam known for its sandy beaches, modern infrastructure, and proximity to historic sites like Hoi An and the Marble Mountains.
  • D. Quảng Ngãi
    Quảng Ngãi is a coastal province in central Vietnam known for its historical sites, beaches, and role in the Vietnam War.
  • E. Nha Trang
    Nha Trang is a coastal resort city in Vietnam renowned for its sandy beaches, scuba diving, and vibrant tourism industry.
  • 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.