Triple

T23253603
Position Surface form Disambiguated ID Type / Status
Subject Mandara Mountains E581803 entity
Predicate inhabitedBy P6481 FINISHED
Object Podoko people
The Podoko people are an ethnic group native to northern Cameroon, traditionally living in the Mandara Mountains and known for their distinct language and agrarian, hillside settlements.
E2080096 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: Podoko people | Statement: [Mandara Mountains, inhabitedBy, Podoko 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: Podoko people
Triple: [Mandara Mountains, inhabitedBy, Podoko people]
Generated description
The Podoko people are an ethnic group native to northern Cameroon, traditionally living in the Mandara Mountains and known for their distinct language and agrarian, hillside settlements.

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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f9d904819097315c9bf031f667 completed April 29, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36ae27aa9881909fdfd5e384b4003d completed June 20, 2026, 3:13 p.m.
NEDg Description generation batch_6a36af0ecea8819092b60c42572f3865 completed June 20, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_6a36afaee2b88190b603b07a7700efa2 completed June 20, 2026, 3:20 p.m.
Created at: April 17, 2026, 4:11 p.m.