Triple

T24441242
Position Surface form Disambiguated ID Type / Status
Subject South Africa–Eswatini border E616267 entity
Predicate adjacentCountryOnFourthSide P68114 FINISHED
Object Mozambique 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: Mozambique | Statement: [South Africa–Eswatini border, adjacentCountryOnFourthSide, Mozambique]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: adjacentCountryOnFourthSide
Context triple: [South Africa–Eswatini border, adjacentCountryOnFourthSide, Mozambique]
  • A. geographicallyAdjacentTo chosen
    Indicates that two geographic entities share a common boundary or are directly next to each other in space.
  • B. borderingCountryNearby
    Indicates that one country is geographically close to, but does not necessarily share a direct land border with, another country.
  • C. neighboringCountryPresence
    Indicates that one country has a geographic presence (such as territory, bases, or influence) in or immediately adjacent to a neighboring country.
  • D. hasNeighboringCountryToNorth
    Indicates that one country is directly adjacent to and located south of another country, which lies to its north.
  • E. neighboringCountryBySea
    Indicates that one country is adjacent to another with their territories touching via a shared sea boundary rather than solely by land.
  • 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_69e2d7ec44b081909ccaf1f3bbec0641 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2978bb5a0819087ef151937923b0a completed April 29, 2026, 11:43 p.m.
PD Predicate disambiguation batch_69f287d3237c819099559c00f83131d8 completed April 29, 2026, 10:36 p.m.
Created at: April 18, 2026, 2:17 a.m.