Triple

T8368260
Position Surface form Disambiguated ID Type / Status
Subject Chương Mỹ District E197388 entity
Predicate administrativeCenter P1474 FINISHED
Object Chúc Sơn E728226 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: Chúc Sơn | Statement: [Chương Mỹ District, administrativeCenter, Chúc Sơn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chúc Sơn
Context triple: [Chương Mỹ District, administrativeCenter, Chúc Sơn]
  • A. Chúc Sơn chosen
    Chúc Sơn is a township in Hanoi, Vietnam, serving as an administrative and commercial center for the surrounding rural area.
  • B. Phu Ly
    Phu Ly is a small but growing city in northern Vietnam that serves as an administrative, commercial, and transportation hub for Ha Nam Province.
  • C. Xuan Thuy
    Xuan Thuy was a North Vietnamese diplomat and politician best known as Hanoi’s chief negotiator at the Paris Peace Talks during the Vietnam War.
  • D. Mộc Sơn
    Mộc Sơn is one of the five famous Marble Mountains near Da Nang, Vietnam, known for its distinctive marble formations and spiritual significance.
  • E. Phu Trong
    Phu Trong is the given name of Nguyen Phu Trong, the longtime General Secretary of the Communist Party of Vietnam and a key figure in the country’s contemporary politics.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb808e56fc81908b5d37482f29452d completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7d0a6d081909ffe138f80605992 completed April 2, 2026, 3:51 a.m.
Created at: March 30, 2026, 6:01 p.m.