Triple

T22405091
Position Surface form Disambiguated ID Type / Status
Subject Working Group of Quality Managers E553859 entity
Predicate abbreviation P43 FINISHED
Object WGQM
WGQM is a collaborative working group composed of quality managers focused on developing, harmonizing, and improving quality management practices within their organization or sector.
 E1533666 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: WGQM | Statement: [Working Group of Quality Managers, abbreviation, WGQM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WGQM
Context triple: [Working Group of Quality Managers, abbreviation, WGQM]
  • A. QGM
    QGM is the post-nominal letters used to denote recipients of The Queen's Gallantry Medal, a British decoration awarded for exemplary acts of bravery.
  • B. WKM
    WKM is the abbreviated name for the Warszawska Karta Miejska, Warsaw’s electronic public transport card used for storing and validating tickets.
  • C. WKM
    WKM is the National Rail station code for Wokingham railway station in Berkshire, England.
  • D. YQM
    YQM is the IATA airport code for Greater Moncton Roméo LeBlanc International Airport in New Brunswick, Canada.
  • E. WBQ
    WBQ is the three-letter National Rail station code for Warrington Bank Quay railway station in Cheshire, England.
  • 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: WGQM
Triple: [Working Group of Quality Managers, abbreviation, WGQM]
Generated description
WGQM is a collaborative working group composed of quality managers focused on developing, harmonizing, and improving quality management practices within their organization or sector.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WGQM
Target entity description: WGQM is a collaborative working group composed of quality managers focused on developing, harmonizing, and improving quality management practices within their organization or sector.
  • A. QGM
    QGM is the post-nominal letters used to denote recipients of The Queen's Gallantry Medal, a British decoration awarded for exemplary acts of bravery.
  • B. WKM
    WKM is the abbreviated name for the Warszawska Karta Miejska, Warsaw’s electronic public transport card used for storing and validating tickets.
  • C. WKM
    WKM is the National Rail station code for Wokingham railway station in Berkshire, England.
  • D. YQM
    YQM is the IATA airport code for Greater Moncton Roméo LeBlanc International Airport in New Brunswick, Canada.
  • E. WBQ
    WBQ is the three-letter National Rail station code for Warrington Bank Quay railway station in Cheshire, England.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b739b88190a7f1f20fd1e9b188 completed April 29, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae9cfabe081908d6a001bcfe5372c completed May 18, 2026, 10:28 a.m.
NEDg Description generation batch_6a0aea5eef848190893c8b7f6066092d completed May 18, 2026, 10:30 a.m.
NED2 Entity disambiguation (via description) batch_6a0aeaf55efc81909438a39cbfd5e723 completed May 18, 2026, 10:33 a.m.
Created at: April 16, 2026, 8:46 p.m.