Triple

T23411401
Position Surface form Disambiguated ID Type / Status
Subject Hwang E560077 entity
Predicate isUsedInCountry P715 FINISHED
Object Vietnam NE NERFINISHED

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: Vietnam | Statement: [Hwang, isUsedInCountry, Vietnam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vietnam
Context triple: [Hwang, isUsedInCountry, Vietnam]
  • A. Vietnam
    "Vietnam" is a song whose title references the Southeast Asian country known for its history, culture, and the Vietnam War.
  • B. Viet Nam chosen
    Viet Nam is a Southeast Asian nation known for its rapid economic growth, rich cultural heritage, and strategic role in regional and global trade.
  • 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. State of Vietnam
    The State of Vietnam was a French-backed, non-communist government in southern Vietnam (1949–1955) that opposed the Viet Minh during the First Indochina War.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a51183bc8190bd4860607b26b4b2 completed April 29, 2026, 6:28 a.m.
Created at: April 17, 2026, 5:38 p.m.