Triple

T7878682
Position Surface form Disambiguated ID Type / Status
Subject Amway E182922 entity
Predicate brand P1500 FINISHED
Object SA8
SA8 is an Amway laundry detergent brand known for its concentrated, environmentally conscious cleaning products.
 E701097 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: SA8 | Statement: [Amway, brand, SA8]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SA8
Context triple: [Amway, brand, SA8]
  • A. SA3
    SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
  • B. SA6
    SA6 is a 3GPP working group responsible for standardizing mission-critical and application-layer services in mobile communication systems.
  • C. SA-08
    SA-08 is the ISO 3166-2 subdivision code assigned to Saudi Arabia’s Northern Borders Region.
  • D. SA1
    SA1 is a 3GPP working group responsible for defining overall service requirements and use cases for mobile telecommunications systems.
  • E. SA1
    SA1 is a powerful coprocessor chip used in certain Super Nintendo Entertainment System game cartridges to enhance processing speed and add advanced features beyond the console’s base hardware.
  • 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: SA8
Triple: [Amway, brand, SA8]
Generated description
SA8 is an Amway laundry detergent brand known for its concentrated, environmentally conscious cleaning products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SA8
Target entity description: SA8 is an Amway laundry detergent brand known for its concentrated, environmentally conscious cleaning products.
  • A. SA3
    SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
  • B. SA6
    SA6 is a 3GPP working group responsible for standardizing mission-critical and application-layer services in mobile communication systems.
  • C. SA-08
    SA-08 is the ISO 3166-2 subdivision code assigned to Saudi Arabia’s Northern Borders Region.
  • D. SA1
    SA1 is a powerful coprocessor chip used in certain Super Nintendo Entertainment System game cartridges to enhance processing speed and add advanced features beyond the console’s base hardware.
  • E. SA1
    SA1 is a 3GPP working group responsible for defining overall service requirements and use cases for mobile telecommunications systems.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39bd64e481909f699e7dd2818b8f completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b86c20081909aa029cda7c48d44 completed March 31, 2026, 5:28 a.m.
NEDg Description generation batch_69cb7631d10881908e3c7dacb98520cd completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbbf847f3c819092d690d8d65f6d60 completed March 31, 2026, 12:35 p.m.
Created at: March 30, 2026, 4:57 p.m.