Triple

T17527
Position Surface form Disambiguated ID Type / Status
Subject Mexico E346 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object MEX
MEX is the international vehicle registration code used to identify motor vehicles from Mexico.
E346 NE FINISHED

How this triple was built (5 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: MEX | Statement: [Mexico, vehicleRegistrationCode, MEX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MEX
Context triple: [Mexico, vehicleRegistrationCode, MEX]
  • A. Mexico
    Mexico is a large North American country known for its rich pre-Columbian and colonial history, diverse cultures, and influential cuisine and arts.
  • B. Mexican peso
    The Mexican peso is Mexico's official national currency and one of the most traded currencies in the world, widely used in international foreign exchange markets.
  • C. El Salvador
    El Salvador is a Central American country known for being the smallest and most densely populated nation in the region, with a history of civil conflict and a recent push toward economic modernization and cryptocurrency adoption.
  • D. Guadalajara
    Guadalajara is a large cultural and economic hub in western Mexico, renowned for its colonial architecture, mariachi music, and role as a major center of industry and technology.
  • E. Monterrey
    Monterrey is a major industrial and economic hub in northeastern Mexico, known for its modern skyline, strong manufacturing base, and role as a center of business and education.
  • 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: MEX
Triple: [Mexico, vehicleRegistrationCode, MEX]
Generated description
MEX is the international vehicle registration code used to identify motor vehicles from Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MEX
Target entity description: MEX is the international vehicle registration code used to identify motor vehicles from Mexico.
  • A. Mexico chosen
    Mexico is a large North American country known for its rich pre-Columbian and colonial history, diverse cultures, and influential cuisine and arts.
  • B. Mexican peso
    The Mexican peso is Mexico's official national currency and one of the most traded currencies in the world, widely used in international foreign exchange markets.
  • C. El Salvador
    El Salvador is a Central American country known for being the smallest and most densely populated nation in the region, with a history of civil conflict and a recent push toward economic modernization and cryptocurrency adoption.
  • D. Guadalajara
    Guadalajara is a large cultural and economic hub in western Mexico, renowned for its colonial architecture, mariachi music, and role as a major center of industry and technology.
  • E. Monterrey
    Monterrey is a major industrial and economic hub in northeastern Mexico, known for its modern skyline, strong manufacturing base, and role as a center of business and education.
  • F. None of above.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: vehicleRegistrationCode
Context triple: [Mexico, vehicleRegistrationCode, MEX]
  • A. numericCode
    Indicates that an entity is associated with a specific numerical identifier or classification code.
  • B. drivesOn
    Indicates that an entity uses or travels along a particular route, surface, or roadway as its path of movement.
  • C. areaCode
    Indicates that a location, phone number, or region is associated with a specific telephone area code.
  • D. transportation
    Indicates the movement of someone or something from one place to another, typically using a vehicle or transit system.
  • E. postalCode
    Indicates the numerical or alphanumerical code assigned to a geographic area for mail delivery associated with an entity.
  • F. None of above. chosen

Provenance (7 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a242494a548190a5776fb6cad4d4af completed Feb. 28, 2026, 1:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69a266e1e9408190989c703bfc694682 completed Feb. 28, 2026, 3:54 a.m.
NEDg Description generation batch_69a267c8dd688190bef495cc98c4966f completed Feb. 28, 2026, 3:58 a.m.
NED2 Entity disambiguation (via description) batch_69a268227ecc8190bb4b4149a7e15923 completed Feb. 28, 2026, 3:59 a.m.
PD Predicate disambiguation batch_69a23fedf0fc8190ad99bd1da297b14d completed Feb. 28, 2026, 1:07 a.m.
PDg Predicate description generation batch_69a242489dbc819092c100d3fbf130ef completed Feb. 28, 2026, 1:18 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.