Triple

T15555469
Position Surface form Disambiguated ID Type / Status
Subject Guárico State E370855 entity
Predicate borders P224 FINISHED
Object Carabobo State 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 State | Statement: [Guárico State, borders, Carabobo State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carabobo State
Context triple: [Guárico State, borders, Carabobo State]
  • 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 State
    Barinas State is a landlocked administrative region in western Venezuela known for its vast plains (llanos), cattle ranching, and role as the birthplace of former president Hugo Chávez.
  • D. 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.
  • E. Guárico State
    Guárico State is a central Venezuelan state characterized by vast plains (llanos), agriculture and cattle ranching, and a predominantly rural landscape.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a97dbfc8190a98cbbac5e71ba88 completed April 16, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456427988190bddea01f5cb159d9 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:09 a.m.