Triple

T22889162
Position Surface form Disambiguated ID Type / Status
Subject Bình Phước Province E567687 entity
Predicate bordersVietnameseProvince P32798 FINISHED
Object Đắk Nông Province NE NERFINISHED

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: Đắk Nông Province | Statement: [Bình Phước Province, bordersVietnameseProvince, Đắk Nông Province]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bordersVietnameseProvince
Context triple: [Bình Phước Province, bordersVietnameseProvince, Đắk Nông Province]
  • A. borderTypeWithVietnam
    Indicates the type or nature of the border relationship that an entity shares with Vietnam.
  • B. includesProvinceOnVietnamSide
    Indicates that a specified entity encompasses or contains a province located on the Vietnam side of a border or boundary.
  • C. bordersVenezuelanState
    Indicates that one entity shares a land or maritime boundary with a state within Venezuela.
  • D. bordersPrefecture
    Indicates that one prefecture shares a common boundary with another prefecture.
  • E. provinceBordering chosen
    Indicates that two provinces share a common boundary or border with each other.
  • F. None of above.

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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fc37a448190996e106aacc900f4 completed April 29, 2026, 3:49 a.m.
PD Predicate disambiguation batch_69ef3b6b2e2481908258156937b5a745 completed April 27, 2026, 10:33 a.m.
Created at: April 17, 2026, 3:40 p.m.