Triple

T22680577
Position Surface form Disambiguated ID Type / Status
Subject Sapito Falls E560469 entity
Predicate locatedIn P40 FINISHED
Object Bolívar state 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: Bolívar state | Statement: [Sapito Falls, locatedIn, Bolívar state]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bolívar state
Context triple: [Sapito Falls, locatedIn, Bolívar state]
  • A. Bolívar State chosen
    Bolívar State is a vast, mineral-rich region in southeastern Venezuela known for its dramatic landscapes, including the Guiana Highlands and the world’s highest uninterrupted waterfall, Angel Falls.
  • B. Falcón state
    Falcón state is a coastal region in northwestern Venezuela known for its colonial architecture, arid landscapes, and significant Afro-Venezuelan cultural presence.
  • C. Zulia State
    Zulia State is a resource-rich region in northwestern Venezuela, known for its oil industry, Lake Maracaibo, and cultural distinctiveness.
  • D. Cojedes State
    Cojedes State is a small inland state in central Venezuela known for its agricultural economy and cattle ranching.
  • 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 (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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1786027648190972d1b0bbe81ed13 completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:11 p.m.