Triple

T21979676
Position Surface form Disambiguated ID Type / Status
Subject Battle of Ninh Binh E542802 entity
Predicate location P40 FINISHED
Object Ninh Binh 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: Ninh Binh | Statement: [Battle of Ninh Binh, location, Ninh Binh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ninh Binh
Context triple: [Battle of Ninh Binh, location, Ninh Binh]
  • A. Ninh Binh Province chosen
    Ninh Binh Province is a northern Vietnamese province renowned for its karst landscapes, rice paddies, and river caves, including the UNESCO-listed Trang An Scenic Landscape Complex.
  • B. Ha Nam Province
    Ha Nam Province is a small, predominantly rural province in Vietnam’s Red River Delta region, known for its agriculture, traditional craft villages, and proximity to the capital city Hanoi.
  • C. Hai Duong
    Hai Duong is a provincial city in northern Vietnam known as an important industrial and transportation hub between Hanoi and Hai Phong.
  • D. Yen Dinh
    Yen Dinh is a township in Vietnam that serves as the administrative and economic center of Hai Hau District in Nam Dinh Province.
  • E. Ha Tay Province
    Ha Tay Province was a former province in northern Vietnam, located near Hanoi, that was dissolved and merged into the capital municipality in 2008.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1248bdd88819098bfeca550608f14 completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:03 p.m.