Triple

T30476569
Position Surface form Disambiguated ID Type / Status
Subject Xa Mat Border Gate E775458 entity
Predicate borderCountryCambodiaSide P70148 FINISHED
Object Cambodia 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: Cambodia | Statement: [Xa Mat Border Gate, borderCountryCambodiaSide, Cambodia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: borderCountryCambodiaSide
Context triple: [Xa Mat Border Gate, borderCountryCambodiaSide, Cambodia]
  • A. borderCountrySide chosen
    Indicates that one country shares a land border with the side or region of another country.
  • B. borderTypeWithVietnam
    Indicates the type or nature of the border relationship that an entity shares with Vietnam.
  • C. hasBorderStatesOnMyanmarSide
    Indicates that the referenced entity consists of or includes the states that share a land border with Myanmar.
  • D. hasBorderTownOnMyanmarSide
    Indicates that a town is located on the Myanmar side of a border shared with another country.
  • 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_69fe7b1c506c8190869c1a22031e0571 completed May 9, 2026, 12:09 a.m.
PD Predicate disambiguation batch_69fe796b2bdc8190a86980d44008f875 completed May 9, 2026, 12:01 a.m.
Created at: April 29, 2026, 8:12 p.m.