Triple

T1936785
Position Surface form Disambiguated ID Type / Status
Subject AmigaOne computers E41459 entity
Predicate hasModel P2390 FINISHED
Object Sam440ep
Sam440ep is a PowerPC-based Amiga-compatible motherboard/computer system produced by ACube Systems for running AmigaOS 4.
 E216068 NE FINISHED

How this triple was built (4 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: Sam440ep | Statement: [AmigaOne computers, hasModel, Sam440ep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sam440ep
Context triple: [AmigaOne computers, hasModel, Sam440ep]
  • A. S44
    S44 is a Staten Island local bus route in New York City that connects New Springville with other neighborhoods across the borough.
  • B. S46
    S46 is a commuter rail line of the Berlin S-Bahn network serving suburban and urban areas along its designated route.
  • C. S45
    S45 is a Berlin S-Bahn suburban rail line that connects the city’s southern districts, including Berlin Brandenburg Airport, with the wider urban transit network.
  • D. SA4
    SA4 is a 3GPP working group responsible for the standardization of multimedia codecs, systems, and services in mobile communications.
  • E. S41
    S41 is a circular Berlin S-Bahn line that runs clockwise around the city’s Ringbahn, connecting numerous districts in a loop.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Sam440ep
Triple: [AmigaOne computers, hasModel, Sam440ep]
Generated description
Sam440ep is a PowerPC-based Amiga-compatible motherboard/computer system produced by ACube Systems for running AmigaOS 4.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sam440ep
Target entity description: Sam440ep is a PowerPC-based Amiga-compatible motherboard/computer system produced by ACube Systems for running AmigaOS 4.
  • A. S44
    S44 is a Staten Island local bus route in New York City that connects New Springville with other neighborhoods across the borough.
  • B. S46
    S46 is a commuter rail line of the Berlin S-Bahn network serving suburban and urban areas along its designated route.
  • C. S45
    S45 is a Berlin S-Bahn suburban rail line that connects the city’s southern districts, including Berlin Brandenburg Airport, with the wider urban transit network.
  • D. SA4
    SA4 is a 3GPP working group responsible for the standardization of multimedia codecs, systems, and services in mobile communications.
  • E. S41
    S41 is a circular Berlin S-Bahn line that runs clockwise around the city’s Ringbahn, connecting numerous districts in a loop.
  • F. None of above. chosen

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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2c5f6e481909b2d95861e2098f9 completed March 7, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f6285c8190925af156f49cf9a2 completed March 8, 2026, 10:11 p.m.
NEDg Description generation batch_69adf4aea46481908b5da7c4251dd867 completed March 8, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69adf52b63c481908fcb9db4c40875b4 completed March 8, 2026, 10:16 p.m.
Created at: March 4, 2026, 7:36 p.m.