Triple

T19125288
Position Surface form Disambiguated ID Type / Status
Subject Quartermaster-General to the Forces E468160 entity
Predicate hasAlternativeName P39 FINISHED
Object QMG
QMG is the commonly used abbreviation for the Quartermaster-General to the Forces, a senior military logistics and supply officer position in the British Army.
 E1359539 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: QMG | Statement: [Quartermaster-General to the Forces, hasAlternativeName, QMG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QMG
Context triple: [Quartermaster-General to the Forces, hasAlternativeName, QMG]
  • A. ZMG
    ZMG is the National Rail station code assigned to Monument station in Newcastle upon Tyne, England.
  • B. MGQ
    MGQ is the IATA airport code for Aden Adde International Airport, the main international gateway serving Mogadishu, Somalia.
  • C. MGN
    MGN is the FAA airport code for Harbor Springs Municipal Airport, a public-use airfield serving Harbor Springs, Michigan.
  • D. MAG
    MAG is the abbreviated name used to represent Magic Gaming, the NBA 2K League affiliate of the Orlando Magic.
  • E. MAG
    MAG is the National Rail station code for Maghull railway station in Merseyside, 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: QMG
Triple: [Quartermaster-General to the Forces, hasAlternativeName, QMG]
Generated description
QMG is the commonly used abbreviation for the Quartermaster-General to the Forces, a senior military logistics and supply officer position in the British Army.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QMG
Target entity description: QMG is the commonly used abbreviation for the Quartermaster-General to the Forces, a senior military logistics and supply officer position in the British Army.
  • A. ZMG
    ZMG is the National Rail station code assigned to Monument station in Newcastle upon Tyne, England.
  • B. MGQ
    MGQ is the IATA airport code for Aden Adde International Airport, the main international gateway serving Mogadishu, Somalia.
  • C. MGN
    MGN is the FAA airport code for Harbor Springs Municipal Airport, a public-use airfield serving Harbor Springs, Michigan.
  • D. MAG
    MAG is the abbreviated name used to represent Magic Gaming, the NBA 2K League affiliate of the Orlando Magic.
  • E. MAG
    MAG is the National Rail station code for Maghull railway station in Merseyside, 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3cc5ba08190a1073f2836caf5d3 completed April 20, 2026, 8:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05e67868a481909f419d68c2e5f6bb completed May 14, 2026, 3:12 p.m.
NEDg Description generation batch_6a05e74c4a248190b4e02f0c0d53f904 completed May 14, 2026, 3:16 p.m.
NED2 Entity disambiguation (via description) batch_6a05e84cbbac8190aa3e935e67cac797 completed May 14, 2026, 3:20 p.m.
Created at: April 10, 2026, 12:05 p.m.