Triple

T2374456
Position Surface form Disambiguated ID Type / Status
Subject Yucatán E46163 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object YUC
YUC is the official vehicle registration code used on license plates for the Mexican state of Yucatán.
 E260101 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: YUC | Statement: [Yucatán, vehicleRegistrationCode, YUC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: YUC
Context triple: [Yucatán, vehicleRegistrationCode, YUC]
  • A. Yucuñudahui
    Yucuñudahui was an important pre-Columbian Mixtec urban and ceremonial center in what is now southern Mexico.
  • B. YC
    YC is the IATA airline designator assigned to Yamal Airlines, a Russian regional carrier based in the Yamalo-Nenets Autonomous Okrug.
  • C. YUL
    YUL is the three-letter IATA airport code for Montréal–Trudeau International Airport, the primary international air gateway serving Montreal, Canada.
  • D. YXU
    YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
  • E. UY
    UY is the two-letter ISO 3166-1 alpha-2 country code assigned to Uruguay.
  • 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: YUC
Triple: [Yucatán, vehicleRegistrationCode, YUC]
Generated description
YUC is the official vehicle registration code used on license plates for the Mexican state of Yucatán.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: YUC
Target entity description: YUC is the official vehicle registration code used on license plates for the Mexican state of Yucatán.
  • A. Yucuñudahui
    Yucuñudahui was an important pre-Columbian Mixtec urban and ceremonial center in what is now southern Mexico.
  • B. YC
    YC is the IATA airline designator assigned to Yamal Airlines, a Russian regional carrier based in the Yamalo-Nenets Autonomous Okrug.
  • C. YUL
    YUL is the three-letter IATA airport code for Montréal–Trudeau International Airport, the primary international air gateway serving Montreal, Canada.
  • D. YXU
    YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
  • E. UY
    UY is the two-letter ISO 3166-1 alpha-2 country code assigned to Uruguay.
  • 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc791c4688190a4b8f0e540e84eb4 completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8a8c2b88190a18dbf35d745958f completed March 9, 2026, 11:02 a.m.
NEDg Description generation batch_69aea92cc66c81909a46b83200960fe2 completed March 9, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_69aea9b8dff08190a09f0c965dfd6738 completed March 9, 2026, 11:06 a.m.
Created at: March 4, 2026, 7:56 p.m.