Triple

T28284688
Position Surface form Disambiguated ID Type / Status
Subject Yariguíes Airport E713248 entity
Predicate namedAfter P63 FINISHED
Object Yariguí people
The Yariguí people are an indigenous group from the Magdalena River region of Colombia, historically known for their resistance to Spanish colonization and eventual near-extinction due to disease, warfare, and displacement.
E1968482 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: Yariguí people | Statement: [Yariguíes Airport, namedAfter, Yariguí people]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yariguí people
Triple: [Yariguíes Airport, namedAfter, Yariguí people]
Generated description
The Yariguí people are an indigenous group from the Magdalena River region of Colombia, historically known for their resistance to Spanish colonization and eventual near-extinction due to disease, warfare, and displacement.

Provenance (5 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_69efb52371d88190a1381c4e58a3b731 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f6447ea3508190a90d7168899c3ee3 completed May 2, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2b561052548190a58a8ea1ed46e4f8 completed June 12, 2026, 12:42 a.m.
NEDg Description generation batch_6a2b569883908190b371ced08b2d1114 completed June 12, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a2b5777fefc8190a04d55d95fe869fe completed June 12, 2026, 12:48 a.m.
Created at: April 27, 2026, 11:25 p.m.