Triple

T25553139
Position Surface form Disambiguated ID Type / Status
Subject Mamuno Border Post E640496 entity
Predicate timeZoneSideBotswana P158641 FINISHED
Object Central Africa Time 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: Central Africa Time | Statement: [Mamuno Border Post, timeZoneSideBotswana, Central Africa Time]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeZoneSideBotswana
Context triple: [Mamuno Border Post, timeZoneSideBotswana, Central Africa Time]
  • A. hasTimeZoneOnSouthAfricanSide
    Indicates that the referenced entity is located in a region that uses the time zone observed on the South African side of a border or boundary.
  • B. timeZoneOnBelarusianSide
    Indicates that the referenced time zone is the one used on the Belarusian side of a border, region, or context involving Belarus.
  • C. timezoneBasis
    Indicates that one timezone is defined, measured, or interpreted in reference to another timezone as its underlying standard or point of comparison.
  • D. timeZoneSideEgypt
    Indicates that one entity is located on the Egyptian side of a time zone boundary or division.
  • E. timeZonePractice
    Indicates that an entity conducts activities or operations according to a particular time zone or set of time zone rules.
  • F. None of above. chosen

Provenance (4 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_69e75dc101a881909fd33b02174e9768 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f8c7057881908cca5de0f09a938b completed May 2, 2026, 1:14 p.m.
PD Predicate disambiguation batch_69f468421ba08190880eac99135e5970 completed May 1, 2026, 8:45 a.m.
PDg Predicate description generation batch_69f46d361c348190b5fdfd805ecde01b completed May 1, 2026, 9:07 a.m.
Created at: April 21, 2026, 3:38 p.m.