Triple

T36011815
Position Surface form Disambiguated ID Type / Status
Subject Proton Holdings E1041731 entity
Predicate formerName P65 FINISHED
Object Perusahaan Otomobil Nasional Berhad
Perusahaan Otomobil Nasional Berhad is the original Malaysian national car manufacturer that later became known as Proton Holdings.
E2165441 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: Perusahaan Otomobil Nasional Berhad | Statement: [Proton Holdings, formerName, Perusahaan Otomobil Nasional Berhad]
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: Perusahaan Otomobil Nasional Berhad
Triple: [Proton Holdings, formerName, Perusahaan Otomobil Nasional Berhad]
Generated description
Perusahaan Otomobil Nasional Berhad is the original Malaysian national car manufacturer that later became known as Proton Holdings.

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_69f76e2b981881908e4e160607fa82eb completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7acb462e88190b6429ca5e8c7bb73 completed May 3, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38bffa789c8190ad0eacda673adc9f completed June 22, 2026, 4:54 a.m.
NEDg Description generation batch_6a38c0b9e5508190ae451756483ea6f8 completed June 22, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_6a38c146238481909a2d82cd040468f6 completed June 22, 2026, 4:59 a.m.
Created at: May 3, 2026, 4:07 p.m.