Triple

T4266821
Position Surface form Disambiguated ID Type / Status
Subject Central Vietnam E96844 entity
Predicate hasHistoricalCenter P17588 FINISHED
Object Huế E101579 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: Huế | Statement: [Central Vietnam, hasHistoricalCenter, Huế]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huế
Context triple: [Central Vietnam, hasHistoricalCenter, Huế]
  • A. Huế chosen
    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.
  • B. 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.
  • C. 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.
  • D. Saigon
    Saigon, now officially known as Ho Chi Minh City, is Vietnam’s largest city and a historic economic and cultural hub in the south of the country.
  • E. Hai Phong
    Hai Phong is a major port city in northern Vietnam known for its industrial economy and coastal location.
  • 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_69b5c71c9b488190abbca16d3ea70ae8 completed March 14, 2026, 8:37 p.m.
Created at: March 12, 2026, 11:07 p.m.