Triple

T35968834
Position Surface form Disambiguated ID Type / Status
Subject Open University of Sri Lanka E1040220 entity
Predicate faculty P141 FINISHED
Object Faculty of Engineering Technology
The Faculty of Engineering Technology is an academic division of the Open University of Sri Lanka that offers distance and open-learning programs in engineering and technology disciplines.
E2166209 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: Faculty of Engineering Technology | Statement: [Open University of Sri Lanka, faculty, Faculty of Engineering Technology]
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: Faculty of Engineering Technology
Triple: [Open University of Sri Lanka, faculty, Faculty of Engineering Technology]
Generated description
The Faculty of Engineering Technology is an academic division of the Open University of Sri Lanka that offers distance and open-learning programs in engineering and technology disciplines.

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_69f76e27758c81909b711cf38a130aaf completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7abfe85f08190b597c0ed6fd6fead completed May 3, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38cb83de6c819090304e444bd90080 completed June 22, 2026, 5:43 a.m.
NEDg Description generation batch_6a38cc5342208190b0c94ec76b76b752 completed June 22, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_6a38ccfbece08190be296926289702b2 completed June 22, 2026, 5:49 a.m.
Created at: May 3, 2026, 4:07 p.m.