Triple

T38607851
Position Surface form Disambiguated ID Type / Status
Subject Pana language E934394 entity
Predicate ethnicGroup P194 FINISHED
Object Pana people
The Pana people are an ethnic group in West Africa known for their distinct Pana language and related cultural traditions.
E2291233 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: Pana people | Statement: [Pana language, ethnicGroup, Pana 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: Pana people
Triple: [Pana language, ethnicGroup, Pana people]
Generated description
The Pana people are an ethnic group in West Africa known for their distinct Pana language and related cultural traditions.

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_69f76eccd6d081909ccce171011739a1 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd95a54548190b0272da94449b29a completed May 7, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5c3c48574c819094fad3c56a8d795c completed July 19, 2026, 2:54 a.m.
NEDg Description generation batch_6a5c3d9211748190931eb572a3befac5 completed July 19, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_6a5c3dea84c48190bbfea67fb84ea289 completed July 19, 2026, 3 a.m.
Created at: May 3, 2026, 4:32 p.m.