Triple

T9191913
Position Surface form Disambiguated ID Type / Status
Subject Phu Nhuan District E220610 entity
Predicate borders P224 FINISHED
Object Tan Binh District E775452 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: Tan Binh District | Statement: [Phu Nhuan District, borders, Tan Binh District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tan Binh District
Context triple: [Phu Nhuan District, borders, Tan Binh District]
  • A. Tan Binh District chosen
    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.
  • B. Nam Truc District
    Nam Truc District is a rural administrative district in Nam Định Province in Vietnam’s Red River Delta region.
  • C. Ly Nhan District
    Ly Nhan District is a rural administrative district located in Hà Nam Province in northern Vietnam.
  • D. Binh Thuy District
    Binh Thuy District is an urban district of Cần Thơ in Vietnam’s Mekong Delta, known for its historic architecture and riverside landscapes.
  • E. Vinh Thanh District
    Vinh Thanh District is a rural administrative district in Can Tho, a centrally governed city in Vietnam’s Mekong Delta region.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5c077b4819086c74e91ee4bd75e completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d642c457f08190a79c7161ceadb869 completed April 8, 2026, 11:57 a.m.
Created at: March 30, 2026, 7:24 p.m.