Triple

T29435955
Position Surface form Disambiguated ID Type / Status
Subject Quechua language continuum E746572 entity
Predicate hasVariety P455 FINISHED
Object Santiago del Estero Quichua
Santiago del Estero Quichua is a regional variety of the Quechua language spoken primarily in the Santiago del Estero province of Argentina.
E1867483 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: Santiago del Estero Quichua | Statement: [Quechua language continuum, hasVariety, Santiago del Estero Quichua]
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: Santiago del Estero Quichua
Triple: [Quechua language continuum, hasVariety, Santiago del Estero Quichua]
Generated description
Santiago del Estero Quichua is a regional variety of the Quechua language spoken primarily in the Santiago del Estero province of Argentina.

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_6a25d9324fa8819089b847e80f431643 completed June 7, 2026, 8:48 p.m.
NEDg Description generation batch_6a25dd504b8881908cfcc47c644035ba completed June 7, 2026, 9:06 p.m.
NED2 Entity disambiguation (via description) batch_6a25e22054d081908784600599c12ed5 completed June 7, 2026, 9:26 p.m.
Created at: April 28, 2026, 3:16 p.m.