Triple

T3560623
Position Surface form Disambiguated ID Type / Status
Subject Office for National Statistics E75327 entity
Predicate shortName P43 FINISHED
Object ONS
ONS is the United Kingdom’s largest independent producer of official statistics and its recognized national statistical institute.
 E370601 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: ONS | Statement: [Office for National Statistics, shortName, ONS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ONS
Context triple: [Office for National Statistics, shortName, ONS]
  • A. O.N.S.
    O.N.S. is the post-nominal abbreviation used by recipients of the Royal Norwegian Order of St. Olav.
  • B. OUS
    OUS is the abbreviation for the Oregon University System, the former governing body for public universities in the U.S. state of Oregon.
  • C. OON
    OON is the abbreviation for the Order of Orange-Nassau, a Dutch royal order of chivalry awarded for special merits to society.
  • D. NS
    NS (Nederlandse Spoorwegen) is the principal Dutch railway company responsible for most passenger train services in the Netherlands.
  • E. NS
    NS is the standard abbreviation for Norfolk Southern Railway, a major Class I freight railroad operating primarily in the eastern United States.
  • 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: ONS
Triple: [Office for National Statistics, shortName, ONS]
Generated description
ONS is the United Kingdom’s largest independent producer of official statistics and its recognized national statistical institute.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ONS
Target entity description: ONS is the United Kingdom’s largest independent producer of official statistics and its recognized national statistical institute.
  • A. O.N.S.
    O.N.S. is the post-nominal abbreviation used by recipients of the Royal Norwegian Order of St. Olav.
  • B. OUS
    OUS is the abbreviation for the Oregon University System, the former governing body for public universities in the U.S. state of Oregon.
  • C. OON
    OON is the abbreviation for the Order of Orange-Nassau, a Dutch royal order of chivalry awarded for special merits to society.
  • D. NS
    NS (Nederlandse Spoorwegen) is the principal Dutch railway company responsible for most passenger train services in the Netherlands.
  • E. NS
    NS is the standard abbreviation for Norfolk Southern Railway, a major Class I freight railroad operating primarily in the eastern United States.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc08ac1b0819082021ecdd0061dc3 completed March 8, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb9de4bc8190ba5d111465e66cf8 completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bf85f4f881908bfd2dcfaa3537af completed March 13, 2026, 7:40 a.m.
NED2 Entity disambiguation (via description) batch_69b3fb35c3a08190b50c87923037ee07 completed March 13, 2026, 11:55 a.m.
Created at: March 8, 2026, 3:21 p.m.