Triple

T7787275
Position Surface form Disambiguated ID Type / Status
Subject Guainía Department E187278 entity
Predicate hasLargestCity P235 FINISHED
Object Inírida E692865 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: Inírida | Statement: [Guainía Department, hasLargestCity, Inírida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inírida
Context triple: [Guainía Department, hasLargestCity, Inírida]
  • A. Inírida chosen
    Inírida is a remote Colombian town in the Amazon-Orinoco region, known for its surrounding rivers, biodiversity, and indigenous communities.
  • B. Pomerape
    Pomerape is a stratovolcano in the Andes Mountains on the border between Chile and Bolivia, known as part of the Nevados de Payachata volcanic group.
  • C. Guarequena
    Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
  • D. Tocaima
    Tocaima is a historic Colombian town in the Cundinamarca Department, known for its warm climate and thermal springs.
  • E. Marmato
    Marmato is a historic Colombian mining town in the Caldas Department, renowned for its centuries-old gold extraction and terraced mountainside setting.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cae7e779ec8190b77296d9c2ac3210 completed March 30, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb139fdf188190b1c80dd6d008c34d completed March 31, 2026, 12:21 a.m.
Created at: March 30, 2026, 4:24 p.m.