Triple

T34121886
Position Surface form Disambiguated ID Type / Status
Subject Lom people E875160 entity
Predicate relatedCommunity P21358 FINISHED
Object Lyuli people
The Lyuli people are a traditionally nomadic Central Asian ethnic group, often associated with Romani-related communities, known for their distinct language, culture, and itinerant lifestyle across countries such as Uzbekistan, Tajikistan, and Kyrgyzstan.
E2295772 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: Lyuli people | Statement: [Lom people, relatedCommunity, Lyuli 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: Lyuli people
Triple: [Lom people, relatedCommunity, Lyuli people]
Generated description
The Lyuli people are a traditionally nomadic Central Asian ethnic group, often associated with Romani-related communities, known for their distinct language, culture, and itinerant lifestyle across countries such as Uzbekistan, Tajikistan, and Kyrgyzstan.

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_69f349a9271c81909576994c9ef7b179 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70f41b2f081909f58d8a58efc78de completed May 3, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a81f0b8fabc8190a4a07152601e0ef9 completed Aug. 16, 2026, 5:17 p.m.
NEDg Description generation batch_6a81f10ad6348190bd809e568e4ac38f completed Aug. 16, 2026, 5:19 p.m.
NED2 Entity disambiguation (via description) batch_6a81f15cfc248190880b237337672d3f completed Aug. 16, 2026, 5:20 p.m.
Created at: May 1, 2026, 1:53 a.m.