Triple

T770524
Position Surface form Disambiguated ID Type / Status
Subject Guatemala City E16269 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object GUA
GUA is the vehicle registration code used on license plates for vehicles registered in Guatemala City, the capital of Guatemala.
 E91369 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: GUA | Statement: [Guatemala City, vehicleRegistrationCode, GUA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GUA
Context triple: [Guatemala City, vehicleRegistrationCode, GUA]
  • A. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • B. Guttera
    Guttera is a genus of guineafowl known for its distinctive crested head and spotted plumage, native to sub-Saharan Africa.
  • C. Fagasa
    Fagasa is a coastal village on the island of Tutuila in American Samoa, known for its scenic bay and surrounding rainforest-covered hills.
  • D. Guasca
    Guasca is a small town and municipality in the Cundinamarca Department of Colombia, known for its rural landscapes and proximity to the Chingaza National Natural Park.
  • E. Xai-Xai
    Xai-Xai is a coastal city in southern Mozambique that serves as the capital of Gaza Province and a regional center for agriculture, fishing, and tourism.
  • 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: GUA
Triple: [Guatemala City, vehicleRegistrationCode, GUA]
Generated description
GUA is the vehicle registration code used on license plates for vehicles registered in Guatemala City, the capital of Guatemala.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GUA
Target entity description: GUA is the vehicle registration code used on license plates for vehicles registered in Guatemala City, the capital of Guatemala.
  • A. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • B. Guttera
    Guttera is a genus of guineafowl known for its distinctive crested head and spotted plumage, native to sub-Saharan Africa.
  • C. Fagasa
    Fagasa is a coastal village on the island of Tutuila in American Samoa, known for its scenic bay and surrounding rainforest-covered hills.
  • D. Guasca
    Guasca is a small town and municipality in the Cundinamarca Department of Colombia, known for its rural landscapes and proximity to the Chingaza National Natural Park.
  • E. Xai-Xai
    Xai-Xai is a coastal city in southern Mozambique that serves as the capital of Gaza Province and a regional center for agriculture, fishing, and tourism.
  • 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a704fb148190b203a5bdd77e961c completed March 1, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66678f7ac819095eafccf44c6588e completed March 3, 2026, 4:41 a.m.
NEDg Description generation batch_69a6698255d4819095df00abfe896eac completed March 3, 2026, 4:54 a.m.
NED2 Entity disambiguation (via description) batch_69a66a495cf08190b3a2e2002c089634 completed March 3, 2026, 4:57 a.m.
Created at: March 1, 2026, 7:37 p.m.