Triple

T23256344
Position Surface form Disambiguated ID Type / Status
Subject Bank of Sierra Leone E581885 entity
Predicate ISO4217CurrencyCodeIssued P32242 FINISHED
Object SLL
SLL is the ISO 4217 currency code for the Sierra Leonean leone, the official currency of Sierra Leone.
 E1577045 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: SLL | Statement: [Bank of Sierra Leone, ISO4217CurrencyCodeIssued, SLL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SLL
Context triple: [Bank of Sierra Leone, ISO4217CurrencyCodeIssued, SLL]
  • A. SLL
    SLL is the IATA airport code for Salalah Airport, the main international airport serving the city of Salalah in Oman.
  • B. SLLP
    SLLP is the ICAO airport code for El Alto International Airport, the high-altitude airport serving La Paz, Bolivia.
  • C. SL1
    SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
  • D. .sl
    .sl is the country code top-level domain (ccTLD) assigned to Sierra Leone for use in internet addresses.
  • E. SL
    SL is the post-nominal abbreviation used in Finland to denote a person who has been awarded a decoration of the Order of the Lion of Finland.
  • 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: SLL
Triple: [Bank of Sierra Leone, ISO4217CurrencyCodeIssued, SLL]
Generated description
SLL is the ISO 4217 currency code for the Sierra Leonean leone, the official currency of Sierra Leone.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SLL
Target entity description: SLL is the ISO 4217 currency code for the Sierra Leonean leone, the official currency of Sierra Leone.
  • A. SLL
    SLL is the IATA airport code for Salalah Airport, the main international airport serving the city of Salalah in Oman.
  • B. SLLP
    SLLP is the ICAO airport code for El Alto International Airport, the high-altitude airport serving La Paz, Bolivia.
  • C. SL1
    SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
  • D. .sl
    .sl is the country code top-level domain (ccTLD) assigned to Sierra Leone for use in internet addresses.
  • E. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c4905c819099ca21c6529413ac completed April 29, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f6be3ec8190be316ae03c3b3729 completed May 19, 2026, 10:46 a.m.
NEDg Description generation batch_6a0c40297d3c8190b366b60cec3dbbf8 completed May 19, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40ffd67481908931ffc2d91fb02b completed May 19, 2026, 10:52 a.m.
Created at: April 17, 2026, 4:11 p.m.