Triple

T24376217
Position Surface form Disambiguated ID Type / Status
Subject Jeppes Reef border post E614480 entity
Predicate neighbouringCountryCodeSide P121780 FINISHED
Object SZ LITERAL 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: SZ | Statement: [Jeppes Reef border post, neighbouringCountryCodeSide, SZ]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: neighbouringCountryCodeSide
Context triple: [Jeppes Reef border post, neighbouringCountryCodeSide, SZ]
  • A. neighboringCountryPresence
    Indicates that one country has a geographic presence (such as territory, bases, or influence) in or immediately adjacent to a neighboring country.
  • B. borderCountrySide
    Indicates that one country shares a land border with the side or region of another country.
  • C. countryCodeNorthSide chosen
    Indicates that an entity is located on or associated with the northern side of a country identified by a specific country code.
  • D. hasNeighboringCountryToNorth
    Indicates that one country is directly adjacent to and located south of another country, which lies to its north.
  • E. borderingCountryNearby
    Indicates that one country is geographically close to, but does not necessarily share a direct land border with, another country.
  • 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_69e2d7e1e010819098b95eb3f905943d completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f293d73c0c8190b80e257845a04c57 completed April 29, 2026, 11:27 p.m.
PD Predicate disambiguation batch_69f287bb1b2c81909c2e7fcc392ad143 completed April 29, 2026, 10:35 p.m.
Created at: April 18, 2026, 2:02 a.m.