Triple

T15545642
Position Surface form Disambiguated ID Type / Status
Subject Office for National Statistics E370601 entity
Predicate abbreviation P43 FINISHED
Object ONS E370601 NE FINISHED

How this triple was built (2 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, abbreviation, ONS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ONS
Context triple: [Office for National Statistics, abbreviation, ONS]
  • A. ONS chosen
    ONS is the United Kingdom’s largest independent producer of official statistics and its recognized national statistical institute.
  • B. 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.
  • C. O.N.S.
    O.N.S. is the post-nominal title used by individuals who have been conferred the rank of National Scientist in the Philippines.
  • D. O.N.S.
    O.N.S. is the post-nominal abbreviation used by recipients of the Royal Norwegian Order of St. Olav.
  • E. ONA
    ONA is the IATA airport code for Winona Municipal Airport – Max Conrad Field, a public airport serving Winona, Minnesota.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0443410408190a249889edcd9c599 completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff455a38188190a593c70be09d6103 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:07 a.m.