Triple

T10208207
Position Surface form Disambiguated ID Type / Status
Subject Object Naming Service E242259 entity
Predicate hasAbbreviation P43 FINISHED
Object ONS
ONS is the abbreviation for the Object Naming Service, a system used to assign and resolve unique identifiers for objects in distributed computing environments.
 E849482 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: [Object Naming Service, hasAbbreviation, ONS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ONS
Context triple: [Object Naming Service, hasAbbreviation, ONS]
  • A. ONS
    ONS is the United Kingdom’s largest independent producer of official statistics and its recognized national statistical institute.
  • B. O.N.S.
    O.N.S. is the post-nominal abbreviation used by recipients of the Royal Norwegian Order of St. Olav.
  • C. OUN
    OUN is the National Weather Service forecast office identifier for the Norman, Oklahoma weather forecast and warning center.
  • D. ONN
    ONN is the acronym for Cuba’s National Office of Standardization, the state body responsible for developing and overseeing national standards and quality regulations.
  • E. OUS
    OUS is the abbreviation for the Oregon University System, the former governing body for public universities in the U.S. state of Oregon.
  • 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: [Object Naming Service, hasAbbreviation, ONS]
Generated description
ONS is the abbreviation for the Object Naming Service, a system used to assign and resolve unique identifiers for objects in distributed computing environments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ONS
Target entity description: ONS is the abbreviation for the Object Naming Service, a system used to assign and resolve unique identifiers for objects in distributed computing environments.
  • A. ONS
    ONS is the United Kingdom’s largest independent producer of official statistics and its recognized national statistical institute.
  • B. O.N.S.
    O.N.S. is the post-nominal abbreviation used by recipients of the Royal Norwegian Order of St. Olav.
  • C. OUN
    OUN is the National Weather Service forecast office identifier for the Norman, Oklahoma weather forecast and warning center.
  • D. ONN
    ONN is the acronym for Cuba’s National Office of Standardization, the state body responsible for developing and overseeing national standards and quality regulations.
  • E. OUS
    OUS is the abbreviation for the Oregon University System, the former governing body for public universities in the U.S. state of Oregon.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d395f8e2b881909c51f8210f09cd4f completed April 6, 2026, 11:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d652c13d748190908d1869c60e84c3 completed April 8, 2026, 1:06 p.m.
NEDg Description generation batch_69d653c9f3e48190a51f6c6285d55e1d completed April 8, 2026, 1:10 p.m.
NED2 Entity disambiguation (via description) batch_69d65433b62081908895b50139b3de3f completed April 8, 2026, 1:12 p.m.
Created at: April 6, 2026, 10:57 a.m.