Triple

T8782435
Position Surface form Disambiguated ID Type / Status
Subject Vĩnh Tuy Bridge E208762 entity
Predicate connects P390 FINISHED
Object Hai Bà Trưng District E40957 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: Hai Bà Trưng District | Statement: [Vĩnh Tuy Bridge, connects, Hai Bà Trưng District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hai Bà Trưng District
Context triple: [Vĩnh Tuy Bridge, connects, Hai Bà Trưng District]
  • A. Hai Bà Trưng District chosen
    Hai Bà Trưng District is a central urban district of Hanoi, Vietnam, known for its dense residential areas, universities, and commercial activity.
  • B. Ly Nhan District
    Ly Nhan District is a rural administrative district located in Hà Nam Province in northern Vietnam.
  • C. Nam Truc District
    Nam Truc District is a rural administrative district in Nam Định Province in Vietnam’s Red River Delta region.
  • D. Le Thuy District
    Le Thuy District is a rural district in Quang Binh Province, Vietnam, best known as the birthplace of General Vo Nguyen Giap.
  • E. Huong Hoa District
    Huong Hoa District is a rural mountainous district in Quang Tri Province, Vietnam, known for its border location near Laos and its diverse ethnic communities.
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f7155b081908891e84b704f0ebf completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3391ff08190a725b0549fb0bc89 completed April 4, 2026, 11:17 a.m.
Created at: March 30, 2026, 6:42 p.m.