Triple

T5569156
Position Surface form Disambiguated ID Type / Status
Subject Imperial Vietnam E145953 entity
Predicate capital P234 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: [Imperial Vietnam, capital, Huế]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huế
Context triple: [Imperial Vietnam, capital, 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. 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 (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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0203789688190a0bab723186214ad completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d177d18819090018371d22c66a3 completed March 22, 2026, 8:12 p.m.
Created at: March 22, 2026, 3:36 p.m.