Triple

T4266807
Position Surface form Disambiguated ID Type / Status
Subject Central Vietnam E96844 entity
Predicate hasMajorCity P316 FINISHED
Object Hoi An E153709 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: Hoi An | Statement: [Central Vietnam, hasMajorCity, Hoi An]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoi An
Context triple: [Central Vietnam, hasMajorCity, Hoi An]
  • A. Hoi An chosen
    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.
  • B. Huế
    Huế is a historic city in central Vietnam that served as the imperial capital of the Nguyễn Dynasty and is renowned for its ancient citadel, royal tombs, and rich cultural heritage.
  • 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. Vung Tau
    Vung Tau is a coastal city in southern Vietnam known as a major seaside resort and important maritime and oil industry hub.
  • E. Sihanoukville
    Sihanoukville is a coastal city in southwestern Cambodia known for its beaches, port facilities, and role as a growing tourism and commercial hub.
  • 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_69b34543f06c8190915ebb1a4574ffa9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34fcc383c81908e17da7cbc86a630 completed March 12, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b79992a08190b614a89aa36cf674 completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:07 p.m.