Triple

T22702736
Position Surface form Disambiguated ID Type / Status
Subject Võ Hồng Phúc E561365 entity
Predicate givenName P17 FINISHED
Object Hồng Phúc 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: Hồng Phúc | Statement: [Võ Hồng Phúc, givenName, Hồng Phúc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hồng Phúc
Context triple: [Võ Hồng Phúc, givenName, Hồng Phúc]
  • A. Võ Hồng Phúc chosen
    Võ Hồng Phúc is a Vietnamese politician who served as Vietnam’s Minister of Planning and Investment.
  • B. Bảo Thắng
    Bảo Thắng was a Vietnamese prince, one of the sons of the last emperor of Vietnam, Bảo Đại.
  • C. Trinh Hoi Quan
    Trinh Hoi Quan is an individual known primarily for being a notable bearer of the surname Quan.
  • D. An Lộc
    An Lộc is a town in southern Vietnam that became a major battlefield during the 1972 Easter Offensive in the Vietnam War.
  • E. Hoai Nhon
    Hoai Nhon is a coastal town in south-central Vietnam known for its fishing industry, beaches, and role as a local economic and transportation hub.
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178cbf5788190bc8cd1bc71a861e5 completed April 29, 2026, 3:19 a.m.
Created at: April 17, 2026, 3:16 p.m.