Triple

T1272745
Position Surface form Disambiguated ID Type / Status
Subject Tonkin E15745 entity
Predicate borderedBy P224 FINISHED
Object Annam E17488 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: [Tonkin, borderedBy, Annam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annam
Context triple: [Tonkin, borderedBy, Annam]
  • A. 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.
  • B. Cochinchina
    Cochinchina was the southern region of Vietnam that became a French colony and later formed part of French Indochina.
  • C. 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.
  • D. Tonkin
    Tonkin was a historical region in northern Vietnam, centered around Hanoi, that became a French protectorate and key part of colonial French Indochina.
  • E. Protectorate of Annam chosen
    The Protectorate of Annam was a central Vietnamese monarchy under French colonial rule, forming one of the key constituent regions 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c06c033081909bc594157abaf5bb completed March 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69adf3ab00888190afc7c54d9b89ae3b completed March 8, 2026, 10:09 p.m.
Created at: March 1, 2026, 7:50 p.m.