Triple

T15271051
Position Surface form Disambiguated ID Type / Status
Subject Guárico E365020 entity
Predicate borders P224 FINISHED
Object Carabobo E365018 NE 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: Carabobo | Statement: [Guárico, borders, Carabobo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carabobo
Context triple: [Guárico, borders, Carabobo]
  • A. Carabobo chosen
    Carabobo is a state in north-central Venezuela known for its industrial city of Valencia and its historical role in the country’s independence.
  • B. Carabobo
    Carabobo is a station on Buenos Aires’ historic Line A subway, serving the Flores neighborhood in Argentina’s capital.
  • C. Barinas Province
    Barinas Province was a historical administrative region in western Venezuela that formed part of the territory of the First Republic of Venezuela in the early 19th century.
  • D. Carabobo, Venezuela
    Carabobo is a central Venezuelan state known as a key agricultural and industrial region and as the site of the decisive Battle of Carabobo in the country’s war of independence.
  • E. La Altagracia Province
    La Altagracia Province is a popular tourist region in the eastern Dominican Republic known for its resort areas, beaches, and major tourism infrastructure.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0094eac848190a1740ae1aa6b28e0 completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee6046a088190a9ebea7672e36b73 completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.