Triple

T36564535
Position Surface form Disambiguated ID Type / Status
Subject Lezgic E901936 entity
Predicate usedBy P260 FINISHED
Object Budukh people
The Budukh people are a small indigenous ethnic group of the northeastern Caucasus, primarily living in Azerbaijan and known for their distinct Northeast Caucasian language and traditional mountain lifestyle.
E2202425 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: Budukh people | Statement: [Lezgic, usedBy, Budukh 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: Budukh people
Triple: [Lezgic, usedBy, Budukh people]
Generated description
The Budukh people are a small indigenous ethnic group of the northeastern Caucasus, primarily living in Azerbaijan and known for their distinct Northeast Caucasian language and traditional mountain lifestyle.

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_69f76e6416708190a9754b8c52d4e453 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c27e8b388190ac58d84ca5edadac completed May 3, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dfac0091081909d481f105ed758b4 completed June 26, 2026, 4:06 a.m.
NEDg Description generation batch_6a3dfe292b788190a6316cc67c5ce0bc completed June 26, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_6a3e03327fe481908577744b1addfa8a completed June 26, 2026, 4:42 a.m.
Created at: May 3, 2026, 4:11 p.m.