Triple

T36357892
Position Surface form Disambiguated ID Type / Status
Subject Centre for Cultural and Media Policy Studies, University of Warwick E895395 entity
Predicate hasAbbreviation P43 FINISHED
Object CCMPS
CCMPS is the abbreviated name of the Centre for Cultural and Media Policy Studies at the University of Warwick, a department focused on research and teaching in cultural, creative, and media industries policy.
E2180577 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: CCMPS | Statement: [Centre for Cultural and Media Policy Studies, University of Warwick, hasAbbreviation, CCMPS]
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: CCMPS
Triple: [Centre for Cultural and Media Policy Studies, University of Warwick, hasAbbreviation, CCMPS]
Generated description
CCMPS is the abbreviated name of the Centre for Cultural and Media Policy Studies at the University of Warwick, a department focused on research and teaching in cultural, creative, and media industries policy.

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_69f76e5044248190b390d8887dc03254 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7bac778348190982adf3a1a0a5c59 completed May 3, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39a32e2a8c8190b9bc89937105b1b1 completed June 22, 2026, 9:03 p.m.
NEDg Description generation batch_6a39a5d6c9408190b533c9c703ca3cda completed June 22, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_6a39a6f9db208190ad0b53c2c7408885 completed June 22, 2026, 9:19 p.m.
Created at: May 3, 2026, 4:09 p.m.