Triple

T34584897
Position Surface form Disambiguated ID Type / Status
Subject Department of Commercial Law E888015 entity
Predicate offersProgramme P178 FINISHED
Object LLM in Intellectual Property Law
LLM in Intellectual Property Law is a specialized postgraduate law degree focusing on advanced study of legal issues surrounding patents, trademarks, copyrights, and related intellectual property rights in commercial contexts.
 E2103074 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: LLM in Intellectual Property Law | Statement: [Department of Commercial Law, offersProgramme, LLM in Intellectual Property Law]
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: LLM in Intellectual Property Law
Triple: [Department of Commercial Law, offersProgramme, LLM in Intellectual Property Law]
Generated description
LLM in Intellectual Property Law is a specialized postgraduate law degree focusing on advanced study of legal issues surrounding patents, trademarks, copyrights, and related intellectual property rights in commercial contexts.

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_69f349d25cbc8190869998de5915886b completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f720c710b88190a211f27baeb752e4 completed May 3, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37363d4ba48190bb06859892f1e180 completed June 21, 2026, 12:54 a.m.
NEDg Description generation batch_6a37372aa9608190a607c9b4d0c4f978 completed June 21, 2026, 12:58 a.m.
NED2 Entity disambiguation (via description) batch_6a373a7631588190a8fb371e7e7338ac completed June 21, 2026, 1:12 a.m.
Created at: May 1, 2026, 2:03 a.m.