Triple

T1830199
Position Surface form Disambiguated ID Type / Status
Subject Svenska litteratursällskapet i Finland E40744 entity
Predicate shortName P43 FINISHED
Object SLS
SLS is a Finnish scholarly society dedicated to the preservation, research, and promotion of Swedish-language literature and cultural heritage in Finland.
 E203460 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: SLS | Statement: [Svenska litteratursällskapet i Finland, shortName, SLS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SLS
Context triple: [Svenska litteratursällskapet i Finland, shortName, SLS]
  • 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. SLM
    SLM is the stock ticker symbol for Sanlam, a major South African financial services group offering insurance, investment, and wealth management products.
  • C. 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.
  • 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: SLS
Triple: [Svenska litteratursällskapet i Finland, shortName, SLS]
Generated description
SLS is a Finnish scholarly society dedicated to the preservation, research, and promotion of Swedish-language literature and cultural heritage in Finland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SLS
Target entity description: SLS is a Finnish scholarly society dedicated to the preservation, research, and promotion of Swedish-language literature and cultural heritage in Finland.
  • 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. SLM
    SLM is the stock ticker symbol for Sanlam, a major South African financial services group offering insurance, investment, and wealth management products.
  • C. 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.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0144cc08190abd1a6cf44e64daf completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf6d49988190b8cb1773609a379b completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc07fff60819092b10dd0e417ac5a completed March 8, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69adc0fd79c48190864f53a90517edc6 completed March 8, 2026, 6:33 p.m.
Created at: March 4, 2026, 7:32 p.m.