Triple

T10876706
Position Surface form Disambiguated ID Type / Status
Subject Bassac River E256816 entity
Predicate cityOnRiver P165 FINISHED
Object Long Xuyen E557679 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: Long Xuyen | Statement: [Bassac River, cityOnRiver, Long Xuyen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Long Xuyen
Context triple: [Bassac River, cityOnRiver, Long Xuyen]
  • A. Long Xuyen chosen
    Long Xuyen is a major city in Vietnam’s Mekong Delta region, serving as the capital of An Giang Province and an important economic and cultural center.
  • B. Chau Doc
    Chau Doc is a riverfront city in Vietnam’s An Giang Province, known as a cultural crossroads near the Cambodian border and a gateway to the Mekong Delta.
  • C. Lao Bảo
    Lao Bảo is a border town in Quảng Trị Province, Vietnam, known as a key commercial and transit point on the route between Vietnam and Laos.
  • D. Cao Lanh
    Cao Lanh is a city in Vietnam’s Mekong Delta region known as an administrative, commercial, and cultural hub of Dong Thap Province.
  • E. Can Tho City
    Can Tho City is a major urban and economic hub in Vietnam’s Mekong Delta, known for its extensive waterways, vibrant riverine culture, and bustling markets.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751ac901881909938cabe4d21bdbf completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e154d8f9b881908025acc6ff1beb9f completed April 16, 2026, 9:30 p.m.
Created at: April 8, 2026, 9:21 p.m.