Triple

T4273769
Position Surface form Disambiguated ID Type / Status
Subject Vĩnh Long E96996 entity
Predicate hasSettlement P1068 FINISHED
Object Vĩnh Long city E96996 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: Vĩnh Long city | Statement: [Vĩnh Long, hasSettlement, Vĩnh Long city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vĩnh Long city
Context triple: [Vĩnh Long, hasSettlement, Vĩnh Long city]
  • A. Vĩnh Long chosen
    Vĩnh Long is a city and province in Vietnam’s Mekong Delta region, known for its riverine landscapes, fruit orchards, and network of canals and islands.
  • B. Biên Hòa
    Biên Hòa is a major industrial city in southern Vietnam, located near Ho Chi Minh City along the Đồng Nai River.
  • C. Cần Thơ
    Cần Thơ is a major city in southern Vietnam and the economic and cultural hub of the Mekong Delta region.
  • D. Mỹ Tho
    Mỹ Tho is a city in southern Vietnam’s Mekong Delta, known as a historic river port and a popular gateway for boat tours among the region’s islands and canals.
  • E. Thu Duc City
    Thu Duc City is an eastern municipal city within Ho Chi Minh City (Saigon), Vietnam, formed by merging several urban districts into a major innovation and technology hub.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3501abb74819086b2f04ac7a5c114 completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d069a3c08190abbbf4f163c31054 completed March 14, 2026, 9:17 p.m.
Created at: March 12, 2026, 11:07 p.m.