Triple

T36631508
Position Surface form Disambiguated ID Type / Status
Subject Naba language E904329 entity
Predicate spokenBy P2181 FINISHED
Object Bidayat people
The Bidayat people are an ethnic group of the Sahel region, closely related to the Zaghawa, traditionally semi-nomadic and known for their distinct cultural and linguistic heritage.
E2297527 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: Bidayat people | Statement: [Naba language, spokenBy, Bidayat 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: Bidayat people
Triple: [Naba language, spokenBy, Bidayat people]
Generated description
The Bidayat people are an ethnic group of the Sahel region, closely related to the Zaghawa, traditionally semi-nomadic and known for their distinct cultural and linguistic heritage.

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_69f76e6c63e48190b1d0c3a79a6c7406 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c4b4dc4c819089f016854242a060 completed May 3, 2026, 9:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a8391e5bc0c8190a3fc0133c210b5e4 completed Aug. 17, 2026, 10:57 p.m.
NEDg Description generation batch_6a839995915881908c7bcaa2b3c39bb2 completed Aug. 17, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_6a839a6f17f88190999f49c72b693e20 completed Aug. 17, 2026, 11:34 p.m.
Created at: May 3, 2026, 4:11 p.m.