Triple

T29897125
Position Surface form Disambiguated ID Type / Status
Subject Africa Progress Panel E759308 entity
Predicate notableWork P4 FINISHED
Object Africa Progress Report 2012
Africa Progress Report 2012 is a flagship publication by the Africa Progress Panel that assesses the continent’s development challenges and opportunities while offering policy recommendations to accelerate inclusive and sustainable growth.
E759308 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: Africa Progress Report 2012 | Statement: [Africa Progress Panel, notableWork, Africa Progress Report 2012]
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: Africa Progress Report 2012
Triple: [Africa Progress Panel, notableWork, Africa Progress Report 2012]
Generated description
Africa Progress Report 2012 is a flagship publication by the Africa Progress Panel that assesses the continent’s development challenges and opportunities while offering policy recommendations to accelerate inclusive and sustainable growth.

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_69f2245f1cf88190978c70d1a1d2cb73 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6772c7cc48190b2a3616b9fdcb7e4 completed May 2, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a271410c1d88190996ab0ff68d9b283 completed June 8, 2026, 7:12 p.m.
NEDg Description generation batch_6a2714e0a8e48190bcebb7601fc3b4e8 completed June 8, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_6a271968eae08190834668e2da3cd703 completed June 8, 2026, 7:35 p.m.
Created at: April 29, 2026, 6:05 p.m.