Triple

T36719021
Position Surface form Disambiguated ID Type / Status
Subject University of the East E906993 entity
Predicate hasFaculty P141 FINISHED
Object College of Computer Studies and Systems
The College of Computer Studies and Systems is the University of the East’s academic unit specializing in computer science, information technology, and related computing disciplines.
 E2195331 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: College of Computer Studies and Systems | Statement: [University of the East, hasFaculty, College of Computer Studies and Systems]
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: College of Computer Studies and Systems
Triple: [University of the East, hasFaculty, College of Computer Studies and Systems]
Generated description
The College of Computer Studies and Systems is the University of the East’s academic unit specializing in computer science, information technology, and related computing 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_69f76e73ad108190a5241585f2303e9a completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c8421b248190a171972072f16828 completed May 3, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a38376c188190871e7fb00dbe8a64 completed June 23, 2026, 7:39 a.m.
NEDg Description generation batch_6a3a38cef65c8190a4c5dafe793fcf7c completed June 23, 2026, 7:42 a.m.
NED2 Entity disambiguation (via description) batch_6a3a3a51dabc81909cf57f44ec196576 completed June 23, 2026, 7:48 a.m.
Created at: May 3, 2026, 4:12 p.m.