Triple

T6542926
Position Surface form Disambiguated ID Type / Status
Subject Lê Thánh Tông E168333 entity
Predicate eraName P2938 FINISHED
Object Hồng Đức E604277 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: Hồng Đức | Statement: [Lê Thánh Tông, eraName, Hồng Đức]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hồng Đức
Context triple: [Lê Thánh Tông, eraName, Hồng Đức]
  • A. Hồng Đức chosen
    Hồng Đức was a notable era of the Later Lê dynasty in Vietnam, remembered for its flourishing Confucian governance, legal reforms, and cultural development under Emperor Lê Thánh Tông.
  • B. Muong Thanh
    Muong Thanh is the former name of the Vietnamese city now known as Dien Bien Phu, historically significant for the decisive 1954 battle that ended French colonial rule in Indochina.
  • C. Phúc Lợi
    Phúc Lợi is a ward-level administrative subdivision located within Long Biên District of Hanoi, Vietnam.
  • D. Việt Hưng
    Việt Hưng is an urban ward located in Long Biên District on the eastern side of Hanoi, Vietnam.
  • E. Dinh Can
    Dinh Can is the given name of Ngo Dinh Can, a prominent member of South Vietnam’s influential Ngo family during the mid-20th century.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6adeb54d88190a3199f9a517d7232 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e41d09488190bda71118c299fd31 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:50 p.m.