Triple

T11625126
Position Surface form Disambiguated ID Type / Status
Subject Yên Lạc District E276244 entity
Predicate hasCapital P204 FINISHED
Object Yên Lạc E938311 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: Yên Lạc | Statement: [Yên Lạc District, hasCapital, Yên Lạc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yên Lạc
Context triple: [Yên Lạc District, hasCapital, Yên Lạc]
  • A. Yên Lạc chosen
    Yên Lạc is a township in northern Vietnam that serves as the administrative and economic center of Yên Lạc District in Vĩnh Phúc Province.
  • B. 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.
  • C. Yen Phu
    Yen Phu is a historic residential neighborhood in Hanoi, Vietnam, known for its traditional village atmosphere and scenic location along West Lake.
  • D. Lang Son
    Lang Son is a mountainous border city in northeastern Vietnam known as a key trade gateway with China and for its surrounding karst landscapes and historical sites.
  • E. Chúc Sơn
    Chúc Sơn is a township in Hanoi, Vietnam, serving as an administrative and commercial center for the surrounding rural area.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a12416908190ac2dcd7f7ebb308f completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef82a205f08190b1c0e856fdeece11 completed April 27, 2026, 3:37 p.m.
Created at: April 8, 2026, 9:39 p.m.