Triple

T6734329
Position Surface form Disambiguated ID Type / Status
Subject Ba Na Hills E153713 entity
Predicate partOf P40 FINISHED
Object Da Nang tourism area E28418 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: Da Nang tourism area | Statement: [Ba Na Hills, partOf, Da Nang tourism area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Da Nang tourism area
Context triple: [Ba Na Hills, partOf, Da Nang tourism area]
  • A. Da Nang chosen
    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.
  • B. Hoi An
    Hoi An is a historic coastal city in central Vietnam renowned for its well-preserved Ancient Town, lantern-lit streets, and blend of Vietnamese, Chinese, and Japanese architectural influences.
  • C. Nha Trang
    Nha Trang is a coastal resort city in Vietnam renowned for its sandy beaches, scuba diving, and vibrant tourism industry.
  • D. 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.
  • E. Pham Ngu Lao backpacker area
    Pham Ngu Lao backpacker area is a bustling budget-travel hub in Ho Chi Minh City known for its cheap hostels, nightlife, street food, and tour agencies catering to international backpackers.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16d51dc8190869167d86e8f081f completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c77521651c8190aa10d3a7302e2a63 completed March 28, 2026, 6:28 a.m.
Created at: March 27, 2026, 2:09 p.m.