Triple

T34915217
Position Surface form Disambiguated ID Type / Status
Subject Mata-Mata (Namibia) E1006981 entity
Predicate borderCrossingHours P200324 FINISHED
Object daytime only (subject to change) 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: daytime only (subject to change) | Statement: [Mata-Mata (Namibia), borderCrossingHours, daytime only (subject to change)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: borderCrossingHours
Context triple: [Mata-Mata (Namibia), borderCrossingHours, daytime only (subject to change)]
  • A. borderCrossingStatus
    Indicates the current state or outcome of an entity’s attempt to cross a border (e.g., allowed, denied, pending, or completed).
  • B. borderCrossingDistribution
    Indicates the pattern or allocation of border crossings across locations, times, or groups.
  • C. borderCrossingRequirement
    Indicates the conditions or obligations that must be met for an entity to legally or formally cross a border between jurisdictions.
  • D. borderTownAcrossBorder
    Indicates that a town lies on one side of a border directly opposite or adjacent to a town on the other side of that border.
  • E. hasBorderCrossingActivity
    Indicates that there is movement of people, goods, or services occurring across a shared border between two jurisdictions.
  • 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_69f76dc2b6b0819095a61debbd405269 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff80d9a1d88190a95b1488acd6e2e5 completed May 9, 2026, 6:45 p.m.
PD Predicate disambiguation batch_69ff802ae2dc819093a3cda42b63dcbd completed May 9, 2026, 6:42 p.m.
PDg Predicate description generation batch_69ff80d8ff208190b9e95d077fd99f78 completed May 9, 2026, 6:45 p.m.
Created at: May 3, 2026, 4 p.m.