Triple

T15366217
Position Surface form Disambiguated ID Type / Status
Subject Western Venezuela E367420 entity
Predicate hasPhysiographicRegion P1962 FINISHED
Object Llanos E58230 NE FINISHED

How this triple was built (3 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: Llanos | Statement: [Western Venezuela, hasPhysiographicRegion, Llanos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Llanos
Context triple: [Western Venezuela, hasPhysiographicRegion, Llanos]
  • A. Los Llanos
    Los Llanos is a vast tropical grassland plain in northern South America, known for its cattle ranching, rich wildlife, and seasonal flooding.
  • B. Llanos de Moxos
    Llanos de Moxos is a vast seasonally flooded tropical savanna and wetland region in northern Bolivia, known for its rich biodiversity and extensive pre-Columbian earthworks.
  • C. Orinoco Llanos floodplains chosen
    The Orinoco Llanos floodplains are vast seasonally inundated grasslands in the Orinoco River basin of Venezuela and Colombia, known for their rich biodiversity and extensive wetlands.
  • D. La Sabana
    La Sabana is a locality within the coastal region of Acapulco in the Mexican state of Guerrero, known as part of the broader urban and suburban area surrounding the resort city.
  • E. Cuban plains
    The Cuban plains are broad, low-lying fertile regions of Cuba characterized by extensive agriculture and relatively flat terrain.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhysiographicRegion
Context triple: [Western Venezuela, hasPhysiographicRegion, Llanos]
  • A. physiographicDivisionOf chosen
    Indicates that one geographic area is a sub-region or component within the larger physiographic division of another area.
  • B. physicalFeature
    Indicates that one entity possesses or exhibits a particular physical characteristic or attribute.
  • C. naturalRegionOf
    Indicates that one entity is the natural geographic region or area in which the other entity is located or to which it belongs.
  • D. naturalRegionType
    Indicates the type or category of natural region to which a given area or place belongs.
  • E. hasLandform
    Indicates that one entity possesses, contains, or is characterized by a particular natural landform.
  • F. None of above.

Provenance (4 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e497de48190be249b110999ec5c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a6991148190b522684b35c07b1a completed May 9, 2026, 11:28 a.m.
PD Predicate disambiguation batch_69deca9ab7e88190a9261ef27be665b1 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:18 a.m.