Triple

T10988213
Position Surface form Disambiguated ID Type / Status
Subject Main-Spessart E259685 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object MSP
MSP is the vehicle registration code for the Main-Spessart district in the German state of Bavaria.
 E898336 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: MSP | Statement: [Main-Spessart, vehicleRegistrationCode, MSP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MSP
Context triple: [Main-Spessart, vehicleRegistrationCode, MSP]
  • A. MSP
    MSP was the Turkish Islamist political party known as the National Salvation Party, active primarily in the 1970s.
  • B. MSP
    MSP stands for Member of the Scottish Parliament, an elected representative in Scotland's devolved legislature.
  • C. MSP
    MSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety across the Commonwealth of Massachusetts.
  • D. MSP
    MSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety in Maryland.
  • E. MSP
    MSP is the primary international airport serving the Minneapolis–Saint Paul metropolitan area in Minnesota, USA.
  • 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: MSP
Triple: [Main-Spessart, vehicleRegistrationCode, MSP]
Generated description
MSP is the vehicle registration code for the Main-Spessart district in the German state of Bavaria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MSP
Target entity description: MSP is the vehicle registration code for the Main-Spessart district in the German state of Bavaria.
  • A. MSP
    MSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety across the Commonwealth of Massachusetts.
  • B. MSP
    MSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety in Maryland.
  • C. MSP
    MSP stands for Member of the Scottish Parliament, an elected representative in Scotland's devolved legislature.
  • D. MSP
    MSP is the primary international airport serving the Minneapolis–Saint Paul metropolitan area in Minnesota, USA.
  • E. MSP
    MSP, short for the Mutual Security Program, was a U.S. Cold War-era foreign aid initiative designed to strengthen allies’ military and economic stability against communist influence.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b574d08190adec34b814a26437 completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344f95ab88190bbce8f0eab0b2713 completed April 18, 2026, 8:46 a.m.
NEDg Description generation batch_69e3556e8b408190a02a1fe194ae5750 completed April 18, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69e3591ecd548190b049ce95fe3f86d9 completed April 18, 2026, 10:12 a.m.
Created at: April 8, 2026, 9:24 p.m.