Triple

T30476568
Position Surface form Disambiguated ID Type / Status
Subject Xa Mat Border Gate E775458 entity
Predicate borderCountryVietnamSide P70148 FINISHED
Object Vietnam 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: Vietnam | Statement: [Xa Mat Border Gate, borderCountryVietnamSide, Vietnam]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: borderCountryVietnamSide
Context triple: [Xa Mat Border Gate, borderCountryVietnamSide, Vietnam]
  • 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. borderCountrySide chosen
    Indicates that one country shares a land border with the side or region of another country.
  • D. hasBorderStatesOnMyanmarSide
    Indicates that the referenced entity consists of or includes the states that share a land border with Myanmar.
  • E. borderingRepublic
    Indicates that one republic shares a land or maritime border with another republic.
  • 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_69f22497341481909c21ba329fadaa6b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fe78e545888190a239af1a84280fa0 completed May 8, 2026, 11:59 p.m.
PD Predicate disambiguation batch_69fe7842742081908043eb950ed69f92 completed May 8, 2026, 11:56 p.m.
Created at: April 29, 2026, 8:12 p.m.