Triple

T12590156
Position Surface form Disambiguated ID Type / Status
Subject Cordillera de la Costa Central E300581 entity
Predicate locatedInState P40 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: [Cordillera de la Costa Central, locatedInState, Carabobo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carabobo
Context triple: [Cordillera de la Costa Central, locatedInState, 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. 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bd5e8c8190a2f233b91682341f completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec0a60c8190948706e8b2fcc0ad completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:07 p.m.