Triple

T8110649
Position Surface form Disambiguated ID Type / Status
Subject Service Canada E189338 entity
Predicate abbreviation P43 FINISHED
Object 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.
 E712741 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: [Service Canada, abbreviation, SC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SC
Context triple: [Service Canada, abbreviation, SC]
  • A. SC
    SC is the standard two-letter postal abbreviation for the U.S. state of South Carolina.
  • B. SC
    SC is the official Indian Railways station code for Secunderabad Junction, a major railway hub in Telangana, India.
  • C. SC
    SC is the vehicle registration code used on license plates for the German town of Schwabach in Bavaria.
  • D. SC
    SC is the vehicle registration code used on license plates for vehicles registered in Częstochowa, a city in southern Poland.
  • E. SCR
    SCR at St Chad’s College refers to the Senior Common Room, the community and social/academic body of the college’s senior members, including fellows and staff.
  • 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: [Service Canada, abbreviation, SC]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SC
Target entity description: 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.
  • A. SC
    SC is the standard two-letter postal abbreviation for the U.S. state of South Carolina.
  • B. SC
    SC is the official Indian Railways station code for Secunderabad Junction, a major railway hub in Telangana, India.
  • C. SC
    SC is the vehicle registration code used on license plates for the German town of Schwabach in Bavaria.
  • D. SC
    SC is the vehicle registration code used on license plates for vehicles registered in Częstochowa, a city in southern Poland.
  • E. SCR
    SCR at St Chad’s College refers to the Senior Common Room, the community and social/academic body of the college’s senior members, including fellows and staff.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fcfb9c81908496f9a7e30d0d8a completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc942a9af881908b7ddc724755893e completed April 1, 2026, 3:42 a.m.
NEDg Description generation batch_69cc969e0ecc8190973658542d1406bc completed April 1, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_69cc97781c0481909d21293633d111be completed April 1, 2026, 3:56 a.m.
Created at: March 30, 2026, 5:32 p.m.