Triple

T25094135
Position Surface form Disambiguated ID Type / Status
Subject Shah Abdul Latif University Khairpur E628541 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Management Sciences
The Faculty of Management Sciences is an academic division of Shah Abdul Latif University Khairpur that offers education and research programs in business, management, and related disciplines.
E1662555 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 Management Sciences | Statement: [Shah Abdul Latif University Khairpur, hasFaculty, Faculty of Management Sciences]
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 Management Sciences
Triple: [Shah Abdul Latif University Khairpur, hasFaculty, Faculty of Management Sciences]
Generated description
The Faculty of Management Sciences is an academic division of Shah Abdul Latif University Khairpur that offers education and research programs in business, management, and related 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_69e2ff2f58e881908340527bc5d34f07 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f464b77f94819086b73037950546fc completed May 1, 2026, 8:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1048ea21148190b688671c8d8aff35 completed May 22, 2026, 12:15 p.m.
NEDg Description generation batch_6a104a2a89e08190aa35e97ffb57fc9a completed May 22, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a104bc667e48190bb0feadc5b324cde completed May 22, 2026, 12:27 p.m.
Created at: April 18, 2026, 6:24 a.m.