Triple

T16708269
Position Surface form Disambiguated ID Type / Status
Subject Aro River E406028 entity
Predicate locatedIn P40 FINISHED
Object Bolívar state E130621 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: Bolívar state | Statement: [Aro River, locatedIn, Bolívar state]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bolívar state
Context triple: [Aro River, 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 (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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38337ecac8190bc4a9410ed7681ab completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a50eac81908af26a5131bf0a6c completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:20 a.m.