Triple

T2605907
Position Surface form Disambiguated ID Type / Status
Subject Universal Credit E58657 entity
Predicate shortName P43 FINISHED
Object UC
UC is the commonly used abbreviation for Universal Credit, the United Kingdom’s main welfare benefit for people on a low income or out of work.
 E281256 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: UC | Statement: [Universal Credit, shortName, UC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UC
Context triple: [Universal Credit, shortName, UC]
  • A. UC
    UC is a leading Chilean university, widely recognized for its academic excellence and strong influence in education, research, and public policy in Latin America.
  • B. UC
    UC is a public university in Canberra, Australia, known for its career-focused programs and strong industry partnerships.
  • C. UC
    UC is the final generation of the Holden Torana, a compact Australian car produced in the late 1970s.
  • D. UCE
    UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
  • E. UCT
    UCT is a leading public research university in Cape Town, South Africa, renowned as one of Africa’s top higher education institutions.
  • 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: UC
Triple: [Universal Credit, shortName, UC]
Generated description
UC is the commonly used abbreviation for Universal Credit, the United Kingdom’s main welfare benefit for people on a low income or out of work.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UC
Target entity description: UC is the commonly used abbreviation for Universal Credit, the United Kingdom’s main welfare benefit for people on a low income or out of work.
  • A. UC
    UC is a public university in Canberra, Australia, known for its career-focused programs and strong industry partnerships.
  • B. UC
    UC is a leading Chilean university, widely recognized for its academic excellence and strong influence in education, research, and public policy in Latin America.
  • C. UC
    UC is the final generation of the Holden Torana, a compact Australian car produced in the late 1970s.
  • D. UCE
    UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
  • E. UCT
    UCT is a leading public research university in Cape Town, South Africa, renowned as one of Africa’s top higher education institutions.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd864958c8190b3ad6123f1ac78ca completed March 7, 2026, 7:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83dac58c81908be66bf40c810e3c completed March 10, 2026, 2:37 a.m.
NEDg Description generation batch_69af846ab5888190aa04ee83752208e2 completed March 10, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69af84e909308190a6a1a2e818f263c4 completed March 10, 2026, 2:41 a.m.
Created at: March 6, 2026, 9:49 p.m.