Triple

T33908541
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Law, University of Malaya E869250 entity
Predicate governedBy P46 FINISHED
Object University of Malaya Senate
The University of Malaya Senate is the university’s highest academic authority, responsible for overseeing academic policies, standards, and governance across its faculties.
 E2075563 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: University of Malaya Senate | Statement: [Faculty of Law, University of Malaya, governedBy, University of Malaya Senate]
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: University of Malaya Senate
Triple: [Faculty of Law, University of Malaya, governedBy, University of Malaya Senate]
Generated description
The University of Malaya Senate is the university’s highest academic authority, responsible for overseeing academic policies, standards, and governance across its faculties.

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_69f3499869bc8190b6c33a81686af226 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f701aef11c81908579c6365c4066f3 completed May 3, 2026, 8:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3689cb5b448190bb4aa7016f657689 completed June 20, 2026, 12:38 p.m.
NEDg Description generation batch_6a368a8b7c04819093bd8e08512c9062 completed June 20, 2026, 12:41 p.m.
NED2 Entity disambiguation (via description) batch_6a368b9656648190ab445be933b50944 completed June 20, 2026, 12:46 p.m.
Created at: May 1, 2026, 1:48 a.m.