Triple

T26762574
Position Surface form Disambiguated ID Type / Status
Subject Common Assessment Framework E674843 entity
Predicate inspiredBy P9 FINISHED
Object EFQM Excellence Model
The EFQM Excellence Model is a widely used organizational management framework that helps organizations assess and improve their performance across leadership, strategy, people, processes, and results.
 E1739986 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: EFQM Excellence Model | Statement: [Common Assessment Framework, inspiredBy, EFQM Excellence Model]
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: EFQM Excellence Model
Triple: [Common Assessment Framework, inspiredBy, EFQM Excellence Model]
Generated description
The EFQM Excellence Model is a widely used organizational management framework that helps organizations assess and improve their performance across leadership, strategy, people, processes, and results.

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_69eecda85298819097ee1c38a3d772e7 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f618dffa808190883325a99f1cd469 completed May 2, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12094e6b3c819082eb2d8fa534a3ac completed May 23, 2026, 8:08 p.m.
NEDg Description generation batch_6a120a2acf54819094d2f16637877bb7 completed May 23, 2026, 8:12 p.m.
NED2 Entity disambiguation (via description) batch_6a120b0abaf8819087003d4c7978853f completed May 23, 2026, 8:16 p.m.
Created at: April 27, 2026, 3:58 a.m.