Triple

T23485061
Position Surface form Disambiguated ID Type / Status
Subject Nguyễn Trãi E570512 entity
Predicate placeOfBirth P1 FINISHED
Object Thăng Long 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: Thăng Long | Statement: [Nguyễn Trãi, placeOfBirth, Thăng Long]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thăng Long
Context triple: [Nguyễn Trãi, placeOfBirth, Thăng Long]
  • A. Hanoi chosen
    Hanoi is the historic and modern capital of Vietnam, known for its centuries-old architecture, rich cultural heritage, and vibrant street life.
  • B. Hanoi Capital Region
    The Hanoi Capital Region is a key metropolitan and administrative area in northern Vietnam centered on Hanoi, serving as the country’s political hub and a major economic and cultural center.
  • C. Hai Phong
    Hai Phong is a major port city in northern Vietnam known for its industrial economy and coastal location.
  • D. Hòa Lạc
    Hòa Lạc is a commune in the outskirts of Hanoi, Vietnam, known as a major hub for science, technology, and high-tech development.
  • E. Hung Yen City
    Hung Yen City is an urban center in northern Vietnam that serves as the administrative, economic, and cultural hub of Hung Yen Province.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a752c678819087e5c50b8cf87d3d completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:03 p.m.