Triple

T29435945
Position Surface form Disambiguated ID Type / Status
Subject Quechua language continuum E746572 entity
Predicate subdivision P747 FINISHED
Object Northern Quechua
Northern Quechua is a major branch of the Quechua language family spoken primarily in Ecuador, Colombia, and northern Peru, encompassing several closely related indigenous varieties.
E1867482 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: Northern Quechua | Statement: [Quechua language continuum, subdivision, Northern Quechua]
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: Northern Quechua
Triple: [Quechua language continuum, subdivision, Northern Quechua]
Generated description
Northern Quechua is a major branch of the Quechua language family spoken primarily in Ecuador, Colombia, and northern Peru, encompassing several closely related indigenous varieties.

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_69f0a7a180e48190ae775e40047dbcb5 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f66accf77c81908f0f4c1a67e05e47 completed May 2, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25f1075eb881908530641f191f77d9 completed June 7, 2026, 10:30 p.m.
NEDg Description generation batch_6a25f5bd711c819087c809dbfdaeae30 completed June 7, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_6a25f9ba0b4c8190a8f95e28b8d28eba completed June 7, 2026, 11:07 p.m.
Created at: April 28, 2026, 3:16 p.m.