Triple

T19421528
Position Surface form Disambiguated ID Type / Status
Subject SC Franeker E485865 entity
Predicate hasAbbreviation P43 FINISHED
Object SC
SC is the commonly used abbreviation for the Dutch football club SC Franeker.
 E1375860 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: SC | Statement: [SC Franeker, hasAbbreviation, SC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SC
Context triple: [SC Franeker, hasAbbreviation, SC]
  • A. SC
    SC is the standard two-letter postal abbreviation for the U.S. state of South Carolina.
  • B. SC
    SC is the vehicle registration code used on license plates for the German town of Schwabach in Bavaria.
  • C. SC
    SC is the vehicle registration code used on license plates for vehicles registered in Częstochowa, a city in southern Poland.
  • D. SC
    SC is the commonly used abbreviation for Service Canada, the federal government agency that delivers a wide range of public services and benefits to Canadians.
  • E. SC
    SC is the official abbreviation used by the United States Navy to denote officers of its Supply Corps, the branch responsible for logistics, supply, and financial management.
  • 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: SC
Triple: [SC Franeker, hasAbbreviation, SC]
Generated description
SC is the commonly used abbreviation for the Dutch football club SC Franeker.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SC
Target entity description: SC is the commonly used abbreviation for the Dutch football club SC Franeker.
  • A. SC
    SC is the commonly used abbreviation for Service Canada, the federal government agency that delivers a wide range of public services and benefits to Canadians.
  • B. SC
    SC is the official abbreviation used by the United States Navy to denote officers of its Supply Corps, the branch responsible for logistics, supply, and financial management.
  • C. SC
    SC is the abbreviation for the Standing Committee of the Convention on International Trade in Endangered Species of Wild Fauna and Flora, a body that provides policy guidance and oversight for the implementation of CITES.
  • D. SC
    SC is the commonly used abbreviation for the Indian Army’s Southern Command, one of its major operational formations responsible for the southern region of India.
  • E. SC
    SC is the standard two-letter postal abbreviation for the U.S. state of South Carolina.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63214d768819082129100d7116521 completed April 20, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733d1d4148190b7dae069a76e7041 completed May 15, 2026, 2:55 p.m.
NEDg Description generation batch_6a0735ce9a348190af1d3f58f1bb26cd completed May 15, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0736c250708190a6f9ac2364038432 completed May 15, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:37 p.m.