Triple

T3417334
Position Surface form Disambiguated ID Type / Status
Subject Champa E72039 entity
Predicate conflictWith P4897 FINISHED
Object Dai Viet E220215 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: Dai Viet | Statement: [Champa, conflictWith, Dai Viet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dai Viet
Context triple: [Champa, conflictWith, Dai Viet]
  • A. Annam
    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. 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.
  • C. Empire of Vietnam
    The Empire of Vietnam was a short-lived Japanese-backed puppet state that existed in 1945 during World War II, preceding the establishment of the Democratic Republic of Vietnam.
  • D. Cochinchina
    Cochinchina was the southern region of Vietnam that became a French colony and later formed part of French Indochina.
  • E. Viet chosen
    Viet refers to the ethnic Vietnamese people, the majority ethnic group of Vietnam with a distinct language and culture.
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb92c20fc81909b5debced20ec083 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360c285688190a264fcb4ab271b82 completed March 13, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:15 p.m.