Triple

T1411416
Position Surface form Disambiguated ID Type / Status
Subject Sanlam E31812 entity
Predicate tickerSymbol P1447 FINISHED
Object SLM
SLM is the stock ticker symbol for Sanlam, a major South African financial services group offering insurance, investment, and wealth management products.
 E161674 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: SLM | Statement: [Sanlam, tickerSymbol, SLM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SLM
Context triple: [Sanlam, tickerSymbol, SLM]
  • A. SLS
    SLS is NASA’s heavy-lift, super-heavy rocket designed to carry astronauts and large payloads beyond low Earth orbit, including missions to the Moon and eventually Mars.
  • B. SLD
    SLD was a particle physics experiment at the SLAC Linear Collider that made precision measurements of electroweak interactions, including properties of the Z boson.
  • C. SL4
    SL4 is a branch of Boston’s MBTA Silver Line bus rapid transit service that runs between downtown and the Seaport/South Station area.
  • D. SL1
    SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
  • E. SLV
    SLV is the three-letter ISO 3166-1 alpha-3 country code assigned to El Salvador.
  • 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: SLM
Triple: [Sanlam, tickerSymbol, SLM]
Generated description
SLM is the stock ticker symbol for Sanlam, a major South African financial services group offering insurance, investment, and wealth management products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SLM
Target entity description: SLM is the stock ticker symbol for Sanlam, a major South African financial services group offering insurance, investment, and wealth management products.
  • A. SLS
    SLS is NASA’s heavy-lift, super-heavy rocket designed to carry astronauts and large payloads beyond low Earth orbit, including missions to the Moon and eventually Mars.
  • B. SLD
    SLD was a particle physics experiment at the SLAC Linear Collider that made precision measurements of electroweak interactions, including properties of the Z boson.
  • C. SL4
    SL4 is a branch of Boston’s MBTA Silver Line bus rapid transit service that runs between downtown and the Seaport/South Station area.
  • D. SL1
    SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
  • E. SLV
    SLV is the three-letter ISO 3166-1 alpha-3 country code assigned to El Salvador.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3e1da988190bc7c187e193539b6 completed March 1, 2026, 10:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace57be14881908d469d2b5333d6d5 completed March 8, 2026, 2:57 a.m.
NEDg Description generation batch_69ace61c6f348190bba7717b1bd7f24a completed March 8, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69ace6eeb99081908ac23a6c71faeae6 completed March 8, 2026, 3:03 a.m.
Created at: March 1, 2026, 7:59 p.m.