Triple

T33908501
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Law, University of Malaya E869250 entity
Predicate campus P269 FINISHED
Object University of Malaya campus, Kuala Lumpur
The University of Malaya campus in Kuala Lumpur is Malaysia’s oldest and most prestigious public university campus, known for its comprehensive range of faculties, research excellence, and lush, expansive grounds in the nation’s capital.
E2076292 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 campus, Kuala Lumpur | Statement: [Faculty of Law, University of Malaya, campus, University of Malaya campus, Kuala Lumpur]
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 campus, Kuala Lumpur
Triple: [Faculty of Law, University of Malaya, campus, University of Malaya campus, Kuala Lumpur]
Generated description
The University of Malaya campus in Kuala Lumpur is Malaysia’s oldest and most prestigious public university campus, known for its comprehensive range of faculties, research excellence, and lush, expansive grounds in the nation’s capital.

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_6a3692cc6b7881908c95f16d70da78e4 completed June 20, 2026, 1:17 p.m.
NEDg Description generation batch_6a369348ceb8819093f9e140adffdf9f completed June 20, 2026, 1:19 p.m.
NED2 Entity disambiguation (via description) batch_6a3693ea0b9481909f93f236cadd6025 completed June 20, 2026, 1:21 p.m.
Created at: May 1, 2026, 1:48 a.m.