Triple

T4739270
Position Surface form Disambiguated ID Type / Status
Subject St Chad’s College E105197 entity
Predicate hasStudentBody P48 FINISHED
Object 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.
 E465639 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: SCR | Statement: [St Chad’s College, hasStudentBody, SCR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SCR
Context triple: [St Chad’s College, hasStudentBody, SCR]
  • A. SC
    SC is the vehicle registration code used on license plates for the German town of Schwabach in Bavaria.
  • 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 standard two-letter postal abbreviation for the U.S. state of South Carolina.
  • D. SR
    SR is the postcode area in North East England that covers Sunderland and surrounding parts of Tyne and Wear and County Durham.
  • E. SR
    SR is the two-letter ISO 3166-1 alpha-2 country code assigned to Suriname.
  • 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: SCR
Triple: [St Chad’s College, hasStudentBody, SCR]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SCR
Target entity description: 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.
  • A. SC
    SC is the vehicle registration code used on license plates for the German town of Schwabach in Bavaria.
  • 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 standard two-letter postal abbreviation for the U.S. state of South Carolina.
  • D. SR
    SR is the postcode area in North East England that covers Sunderland and surrounding parts of Tyne and Wear and County Durham.
  • E. SR
    SR is the two-letter ISO 3166-1 alpha-2 country code assigned to Suriname.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6485d690819098dc4a974516da6b completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10b8e7ec81908cc1ec9b94a6bee4 completed March 21, 2026, 3:30 a.m.
NEDg Description generation batch_69be1a2de8e08190b26f206434eb9502 completed March 21, 2026, 4:10 a.m.
NED2 Entity disambiguation (via description) batch_69be1a94d8b8819092f7a273cc19ebe9 completed March 21, 2026, 4:12 a.m.
Created at: March 20, 2026, 1:19 p.m.