Triple

T38574607
Position Surface form Disambiguated ID Type / Status
Subject PLUS Malaysia Berhad E929365 entity
Predicate ownedBy P347 FINISHED
Object Employees Provident Fund (Malaysia)
The Employees Provident Fund (Malaysia) is a Malaysian government-backed retirement savings institution that manages compulsory pension contributions for private and non-pensionable public sector employees.
E2275528 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: Employees Provident Fund (Malaysia) | Statement: [PLUS Malaysia Berhad, ownedBy, Employees Provident Fund (Malaysia)]
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: Employees Provident Fund (Malaysia)
Triple: [PLUS Malaysia Berhad, ownedBy, Employees Provident Fund (Malaysia)]
Generated description
The Employees Provident Fund (Malaysia) is a Malaysian government-backed retirement savings institution that manages compulsory pension contributions for private and non-pensionable public sector employees.

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_69f76ebd2248819083978362d81fa35e completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd91f7a4881908399298626d2ab58 completed May 7, 2026, 6:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41ea92cb84819083e10a165f41509d completed June 29, 2026, 3:46 a.m.
NEDg Description generation batch_6a41eb4f26e481908d2c85e0d36444e2 completed June 29, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_6a41ebd8d4148190a712fe2913933df7 completed June 29, 2026, 3:51 a.m.
Created at: May 3, 2026, 4:32 p.m.