Triple

T5550837
Position Surface form Disambiguated ID Type / Status
Subject Empire of Vietnam E145520 entity
Predicate territoryIncludes P285 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: [Empire of Vietnam, territoryIncludes, Annam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annam
Context triple: [Empire of Vietnam, territoryIncludes, 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. 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. Cochinchina
    Cochinchina was the southern region of Vietnam that became a French colony and later formed part of French Indochina.
  • D. Viet Nam
    Viet Nam is a Southeast Asian nation known for its rapid economic growth, rich cultural heritage, and strategic role in regional and global trade.
  • E. Tonkin
    Tonkin was a historical region in northern Vietnam, centered around Hanoi, that became a French protectorate and key part of colonial 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe3e7788190aa5361b083197c17 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cf6d9f48190a3ee3446973c7381 completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:35 p.m.