Triple

T16502352
Position Surface form Disambiguated ID Type / Status
Subject Trung Kỳ E400828 entity
Predicate historicalName P65 FINISHED
Object Annam 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: Annam | Statement: [Trung Kỳ, historicalName, Annam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annam
Context triple: [Trung Kỳ, historicalName, Annam]
  • A. 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.
  • B. 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.
  • C. Tai Viet
    Tai Viet is an abugida writing system used primarily for the Tai Dam and related Tai languages of Southeast Asia, notably in Vietnam, Laos, and Thailand.
  • D. Giap
    Giap is a Vietnamese given name most famously borne by General Vo Nguyen Giap, the prominent military leader during the First Indochina War and the Vietnam War.
  • E. Cochinchina
    Cochinchina was the southern region of Vietnam that became a French colony and later formed part of French Indochina.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e50436c8190836a1bc2baa188b1 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067a31c8881909b05c49c8006785d completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:14 a.m.