Triple

T22116022
Position Surface form Disambiguated ID Type / Status
Subject Supreme Court of Appeal of South Africa E546543 entity
Predicate shortName P43 FINISHED
Object SCA
The SCA is South Africa’s Supreme Court of Appeal, the country’s highest court for non-constitutional civil and criminal matters.
E546543 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: SCA | Statement: [Supreme Court of Appeal of South Africa, shortName, SCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SCA
Context triple: [Supreme Court of Appeal of South Africa, shortName, SCA]
  • A. SCA
    SCA is the National Rail station code for Scarborough railway station in North Yorkshire, England.
  • B. SCA
    SCA is a software composition analysis solution that identifies and manages vulnerabilities and license risks in open-source components used within applications.
  • C. SCA
    SCA is the common abbreviation for the Service Contract Act, a U.S. federal law that sets wage and benefit standards for employees working on government service contracts.
  • D. SCA
    SCA is the abbreviation for the Special Committee on Agriculture, a key preparatory body within the Council of the European Union that handles agricultural policy issues.
  • E. SCA
    SCA is the commonly used abbreviation for the Saurashtra Cricket Association, the governing body for cricket in the Saurashtra region of India.
  • 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: SCA
Triple: [Supreme Court of Appeal of South Africa, shortName, SCA]
Generated description
The SCA is South Africa’s Supreme Court of Appeal, the country’s highest court for non-constitutional civil and criminal matters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SCA
Target entity description: The SCA is South Africa’s Supreme Court of Appeal, the country’s highest court for non-constitutional civil and criminal matters.
  • A. SCA chosen
    The SCA is South Africa’s highest court of appeal for non-constitutional matters, based in Bloemfontein.
  • B. SCA
    SCA is the commonly used abbreviation for the Saurashtra Cricket Association, the governing body for cricket in the Saurashtra region of India.
  • C. SCA
    SCA is the common abbreviation for the Service Contract Act, a U.S. federal law that sets wage and benefit standards for employees working on government service contracts.
  • D. SCA
    SCA is the abbreviation for the Special Committee on Agriculture, a key preparatory body within the Council of the European Union that handles agricultural policy issues.
  • E. SCA
    SCA is the commonly used abbreviation for Hay’at Qanāt as-Suways, the authority responsible for managing and operating Egypt’s Suez Canal.
  • F. None of above.

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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1294dc1148190b95ff00f475a6713 completed April 28, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a8f1b4a5c8190bce19db01cd4a02f completed May 18, 2026, 4:01 a.m.
NEDg Description generation batch_6a0a913f7b3c819086c0f12562685eea completed May 18, 2026, 4:10 a.m.
NED2 Entity disambiguation (via description) batch_6a0a91d837bc8190b47ca7924f543f67 completed May 18, 2026, 4:13 a.m.
Created at: April 16, 2026, 8:31 p.m.