Triple

T30743244
Position Surface form Disambiguated ID Type / Status
Subject third voyage of Christopher Columbus E782746 entity
Predicate landfallPresentDayCountry P72329 FINISHED
Object Venezuela 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: Venezuela | Statement: [third voyage of Christopher Columbus, landfallPresentDayCountry, Venezuela]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: landfallPresentDayCountry
Context triple: [third voyage of Christopher Columbus, landfallPresentDayCountry, Venezuela]
  • A. landfallPresentDayLocation
    Indicates the present-day geographic location where something (typically a storm or similar event) made landfall.
  • B. landfallLocation
    Indicates the geographic location where a storm or similar weather system first makes landfall.
  • C. isLandfallOf
    Indicates that a particular event or location is the point or instance where something (typically a storm, cyclone, or similar phenomenon) comes ashore from a body of water onto land.
  • D. landfallEffect
    Indicates the impact or consequences that occur when a storm or similar weather system moves from water onto land.
  • E. tookPlaceInPresentDayCountry chosen
    Indicates that an event or occurrence happened within the geographic area of the country as it is defined in the present day.
  • 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_69f224aeb1588190897d395e8ed2acb8 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68f6a32f081909499d6ca20f35e55 completed May 2, 2026, 11:57 p.m.
PD Predicate disambiguation batch_69f686140aa08190a35f62572b2db9b6 completed May 2, 2026, 11:17 p.m.
Created at: April 29, 2026, 8:38 p.m.