Triple

T15460913
Position Surface form Disambiguated ID Type / Status
Subject Hung Yen Province E371894 entity
Predicate hasSettlement P1068 FINISHED
Object Hung Yen City E1158796 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: Hung Yen City | Statement: [Hung Yen Province, hasSettlement, Hung Yen City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hung Yen City
Context triple: [Hung Yen Province, hasSettlement, Hung Yen City]
  • A. Hung Yen City chosen
    Hung Yen City is an urban center in northern Vietnam that serves as the administrative, economic, and cultural hub of Hung Yen Province.
  • B. Viet Tri City
    Viet Tri City is an urban and industrial center in northern Vietnam known as a regional hub for administration, transportation, and manufacturing.
  • C. Hòa Bình City
    Hòa Bình City is an urban center in northwestern Vietnam that serves as the political, economic, and cultural hub of Hòa Bình Province.
  • D. Quang Ngai City
    Quang Ngai City is an urban center in central Vietnam known as the political, economic, and cultural hub of Quang Ngai Province.
  • E. Dong Hoi City
    Dong Hoi City is the coastal capital and largest urban center of Quang Binh Province in central Vietnam, known as a gateway to the Phong Nha–Ke Bang National Park.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f17663c8190b995c7c3129c90d6 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365504488190a6f43d82d008c855 completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:32 a.m.