Triple

T11134608
Position Surface form Disambiguated ID Type / Status
Subject Northern Vietnam E263378 entity
Predicate hasMajorCity P316 FINISHED
Object Ninh Binh E168334 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: Ninh Binh | Statement: [Northern Vietnam, hasMajorCity, Ninh Binh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ninh Binh
Context triple: [Northern Vietnam, hasMajorCity, 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. Hai Duong Province
    Hai Duong Province is a northeastern Vietnamese province in the Red River Delta region, known for its agricultural production, traditional crafts, and historical sites.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85daddc8190a1ae2a4a75cc8d50 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46308d2f481908827d0d569802f89 completed April 19, 2026, 5:07 a.m.
Created at: April 8, 2026, 9:28 p.m.