Triple

T15757969
Position Surface form Disambiguated ID Type / Status
Subject Mönchengladbach E382016 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object MG
MG is the vehicle registration code for the German city of Mönchengladbach.
E1175074 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: MG | Statement: [Mönchengladbach, vehicleRegistrationCode, MG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MG
Context triple: [Mönchengladbach, vehicleRegistrationCode, MG]
  • A. MG
    MG is a historic British automotive marque best known for its sports cars, now owned and produced by Chinese manufacturer SAIC Motor.
  • B. MGY
    MGY was the distinctive wireless call sign used by the RMS Titanic for its radio communications.
  • C. MJG
    MJG is an American rapper best known as one half of the influential Southern hip hop duo 8Ball & MJG.
  • D. MGW
    MGW is the IATA airport code for Morgantown Municipal Airport, a regional airport serving Morgantown, West Virginia.
  • E. Marg
    Marg is a given name, typically a shortened form of Margaret, used primarily in English-speaking contexts.
  • 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: MG
Triple: [Mönchengladbach, vehicleRegistrationCode, MG]
Generated description
MG is the vehicle registration code for the German city of Mönchengladbach.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MG
Target entity description: MG is the vehicle registration code for the German city of Mönchengladbach.
  • A. MG
    MG is a historic British automotive marque best known for its sports cars, now owned and produced by Chinese manufacturer SAIC Motor.
  • B. MGY
    MGY was the distinctive wireless call sign used by the RMS Titanic for its radio communications.
  • C. MJG
    MJG is an American rapper best known as one half of the influential Southern hip hop duo 8Ball & MJG.
  • D. MGW
    MGW is the IATA airport code for Morgantown Municipal Airport, a regional airport serving Morgantown, West Virginia.
  • E. Marg
    Marg is a given name, typically a shortened form of Margaret, used primarily in English-speaking contexts.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b35ea48190a758ee76a57b5451 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff877311dc8190b55fe7ca5c0843da completed May 9, 2026, 7:13 p.m.
NEDg Description generation batch_69ff881731ac8190baa3cea2c9b7975b completed May 9, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69ff88cfbe388190b20c426b4c745f92 completed May 9, 2026, 7:19 p.m.
Created at: April 10, 2026, 4:47 a.m.