Triple

T6542962
Position Surface form Disambiguated ID Type / Status
Subject Ninh Binh Province E168334 entity
Predicate hasCity P316 FINISHED
Object Ninh Binh City E604285 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 City | Statement: [Ninh Binh Province, hasCity, Ninh Binh City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ninh Binh City
Context triple: [Ninh Binh Province, hasCity, Ninh Binh City]
  • A. Ninh Binh City chosen
    Ninh Binh City is an urban center in northern Vietnam known as the gateway to the scenic karst landscapes and cultural sites of the surrounding Ninh Binh Province.
  • B. Nam Dinh City
    Nam Dinh City is the capital and largest urban center of Nam Dinh Province in northern Vietnam, known historically as an important cultural and industrial hub in the Red River Delta.
  • C. Dong Hoi City
    Dong Hoi City is the coastal capital and largest urban center of Quang Binh Province in central Vietnam, known as a gateway to the Phong Nha–Ke Bang National Park.
  • D. Vinh
    Vinh is a major city in north-central Vietnam, serving as the economic and cultural center of Nghệ An Province.
  • E. Can Tho City
    Can Tho City is a major urban and economic hub in Vietnam’s Mekong Delta, known for its extensive waterways, vibrant riverine culture, and bustling markets.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6adeb54d88190a3199f9a517d7232 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e41d09488190bda71118c299fd31 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:50 p.m.