Triple

T29191865
Position Surface form Disambiguated ID Type / Status
Subject Toumani Diabaté E740013 entity
Predicate notableWork P4 FINISHED
Object Boulevard de l’Indépendance
Boulevard de l’Indépendance is a celebrated musical work by Malian kora virtuoso Toumani Diabaté that showcases his innovative blend of traditional West African music and contemporary influences.
E2293890 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: Boulevard de l’Indépendance | Statement: [Toumani Diabaté, notableWork, Boulevard de l’Indépendance]
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: Boulevard de l’Indépendance
Triple: [Toumani Diabaté, notableWork, Boulevard de l’Indépendance]
Generated description
Boulevard de l’Indépendance is a celebrated musical work by Malian kora virtuoso Toumani Diabaté that showcases his innovative blend of traditional West African music and contemporary influences.

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_69f07cb8033c8190b8807e219a14333d completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f6638bd6288190b4353e235dd74b0f completed May 2, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7b26b04dbc8190862aa6b8f7ef34cc completed Aug. 11, 2026, 1:42 p.m.
NEDg Description generation batch_6a7b2709c6988190a4ad582df1e3cf99 completed Aug. 11, 2026, 1:43 p.m.
NED2 Entity disambiguation (via description) batch_6a7b5191f0ac8190b181a347a3542e1f completed Aug. 11, 2026, 4:45 p.m.
Created at: April 28, 2026, 12:02 p.m.