Triple

T5820854
Position Surface form Disambiguated ID Type / Status
Subject UK Government Investments E129101 entity
Predicate shortName P43 FINISHED
Object UKGI
UKGI is the UK government’s centre of expertise for corporate finance and governance, managing the state’s commercial interests in a range of public assets and companies.
 E548214 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: UKGI | Statement: [UK Government Investments, shortName, UKGI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UKGI
Context triple: [UK Government Investments, shortName, UKGI]
  • A. GWI
    GWI is the National Rail station code for Greenwich railway station in London, England.
  • B. UJ
    UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
  • C. UA
    UA is a major public research university located in Tucson, Arizona, known for its strong programs in astronomy, space sciences, and environmental studies.
  • D. UA
    UA is a major public research university located in Tuscaloosa, Alabama, known for its strong academic programs and prominent Crimson Tide athletics.
  • E. UA
    UA is the two-letter IATA airline designator used worldwide to identify United Airlines on tickets, schedules, and flight information.
  • 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: UKGI
Triple: [UK Government Investments, shortName, UKGI]
Generated description
UKGI is the UK government’s centre of expertise for corporate finance and governance, managing the state’s commercial interests in a range of public assets and companies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UKGI
Target entity description: UKGI is the UK government’s centre of expertise for corporate finance and governance, managing the state’s commercial interests in a range of public assets and companies.
  • A. GWI
    GWI is the National Rail station code for Greenwich railway station in London, England.
  • B. UJ
    UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
  • C. UA
    UA is a major public research university located in Tucson, Arizona, known for its strong programs in astronomy, space sciences, and environmental studies.
  • D. UA
    UA is a major public research university located in Tuscaloosa, Alabama, known for its strong academic programs and prominent Crimson Tide athletics.
  • E. UA
    UA is the two-letter IATA airline designator used worldwide to identify United Airlines on tickets, schedules, and flight information.
  • 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c033e598f48190abd859c5a2ba08dd completed March 22, 2026, 6:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09856bd7881909bf6a87e0c071103 completed March 23, 2026, 1:33 a.m.
NEDg Description generation batch_69c098f465cc819088241200306bd273 completed March 23, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69c099770ca88190a91815ec055f6df8 completed March 23, 2026, 1:37 a.m.
Created at: March 22, 2026, 3:53 p.m.