Triple

T34481230
Position Surface form Disambiguated ID Type / Status
Subject Apple Power Macintosh 8500 E885189 entity
Predicate cpu P8608 FINISHED
Object PowerPC 604e
The PowerPC 604e is a second-generation 32-bit RISC microprocessor from the PowerPC family, offering improved performance and efficiency over the original 604 and used in mid-1990s high-end systems such as Apple’s Power Macintosh line and various workstations and servers.
E251993 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: PowerPC 604e | Statement: [Apple Power Macintosh 8500, cpu, PowerPC 604e]
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: PowerPC 604e
Triple: [Apple Power Macintosh 8500, cpu, PowerPC 604e]
Generated description
The PowerPC 604e is a second-generation 32-bit RISC microprocessor from the PowerPC family, offering improved performance and efficiency over the original 604 and used in mid-1990s high-end systems such as Apple’s Power Macintosh line and various workstations and servers.

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_69f349c947fc81909d30b53c194d6ea1 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71cce0ad88190968dc52725d3b724 completed May 3, 2026, 10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a376f8a4ac8819083a1a326e6b67cae completed June 21, 2026, 4:58 a.m.
NEDg Description generation batch_6a3773505bf8819094cba0abdacac6bf completed June 21, 2026, 5:14 a.m.
NED2 Entity disambiguation (via description) batch_6a3773b636288190ab917001b27ab52b completed June 21, 2026, 5:16 a.m.
Created at: May 1, 2026, 2:01 a.m.