Triple

T9250183
Position Surface form Disambiguated ID Type / Status
Subject Saigon Bridge E222301 entity
Predicate connectsDistrict P2564 FINISHED
Object Binh Thanh District E258158 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: Binh Thanh District | Statement: [Saigon Bridge, connectsDistrict, Binh Thanh District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Binh Thanh District
Context triple: [Saigon Bridge, connectsDistrict, Binh Thanh District]
  • A. Binh Thanh District chosen
    Binh Thanh District is a centrally located urban district of Ho Chi Minh City, Vietnam, known for its dense residential areas, commercial activity, and proximity to the city’s downtown core.
  • B. Tan Binh District
    Tan Binh District is an urban district of Ho Chi Minh City, Vietnam, known for hosting Tan Son Nhat International Airport and being a major commercial and transportation hub.
  • C. Thanh Liem District
    Thanh Liem District is a rural administrative district located in Hà Nam Province in northern Vietnam.
  • D. Ly Nhan District
    Ly Nhan District is a rural administrative district located in Hà Nam Province in northern Vietnam.
  • E. Giao Thuy District
    Giao Thuy District is a rural coastal district in northern Vietnam known for its agriculture, fisheries, and proximity to the Xuan Thuy National Park wetland 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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05f7e9848190939f9199d0c1a572 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7faf8c1048190a136289a44a0930b completed April 9, 2026, 7:16 p.m.
Created at: March 30, 2026, 7:31 p.m.