Triple

T10172561
Position Surface form Disambiguated ID Type / Status
Subject Annam E235365 entity
Predicate localName P657 FINISHED
Object An Nam E235365 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: An Nam | Statement: [Annam, localName, An Nam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: An Nam
Context triple: [Annam, localName, An Nam]
  • A. Cochinchina
    Cochinchina was the southern region of Vietnam that became a French colony and later formed part of French Indochina.
  • B. Annam chosen
    Annam was a historical region in central Vietnam that served as a key center of resistance and revolutionary activity during the August General Uprising against French colonial rule.
  • C. Dai Viet
    Dai Viet was a historical Vietnamese kingdom that flourished from the 11th to the 18th century, known for its independent dynasties, Confucian bureaucracy, and rich literary and cultural traditions.
  • D. South Vietnam
    South Vietnam was a former anti-communist state in Southeast Asia that existed from 1955 to 1975 in the southern part of present-day Vietnam, with Saigon as its capital.
  • E. southern Vietnam
    Southern Vietnam is the lower, tropical portion of Vietnam known for the Mekong Delta, Ho Chi Minh City, and a mix of Vietnamese, Khmer, and Chinese cultural influences.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec9f6dd8819081588600499165ee completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d354fc0a808190aa57b68708d91590 completed April 6, 2026, 6:38 a.m.
Created at: March 30, 2026, 9:10 p.m.