Triple

T17553819
Position Surface form Disambiguated ID Type / Status
Subject CAF E427538 entity
Predicate headquartersLocation P62 FINISHED
Object Caracas, 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: Caracas, Venezuela | Statement: [CAF, headquartersLocation, Caracas, Venezuela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caracas, Venezuela
Context triple: [CAF, headquartersLocation, Caracas, Venezuela]
  • A. Caracas chosen
    Caracas is the capital and largest city of Venezuela, known as a major political, cultural, and economic center in northern South America.
  • B. Mérida, Venezuela
    Mérida, Venezuela is an Andean city known for its colonial architecture, vibrant university life, and proximity to the Sierra Nevada mountains and the Mérida cable car.
  • C. Maracaibo
    Maracaibo is a major Venezuelan city known as an important oil-producing and commercial center located on the western shore of Lake Maracaibo.
  • D. Puerto La Cruz, Venezuela
    Puerto La Cruz, Venezuela is a major Caribbean port city and oil industry hub on the country’s northeastern coast.
  • E. Bolívar (Venezuela)
    Bolívar is a large, mineral-rich state in southeastern Venezuela known for encompassing part of the Guiana Highlands and major attractions like Canaima National Park and Angel Falls.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45620983c81909e71f938ce934efa completed April 19, 2026, 4:12 a.m.
Created at: April 10, 2026, 5:50 a.m.