Triple

T2272762
Position Surface form Disambiguated ID Type / Status
Subject Guatemala national football team E50697 entity
Predicate fifaTrigramme P6278 FINISHED
Object GUA
GUA is the official FIFA trigramme used to represent the Guatemala national football team in international competitions and records.
 E250201 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 national football team, fifaTrigramme, GUA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GUA
Context triple: [Guatemala national football team, fifaTrigramme, GUA]
  • A. GUA
    GUA is the vehicle registration code used on license plates for vehicles registered in Guatemala City, the capital of Guatemala.
  • B. GAU
    GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
  • C. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • D. GUF
    GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
  • E. Garoua
    Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
  • 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 national football team, fifaTrigramme, GUA]
Generated description
GUA is the official FIFA trigramme used to represent the Guatemala national football team in international competitions and records.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GUA
Target entity description: GUA is the official FIFA trigramme used to represent the Guatemala national football team in international competitions and records.
  • A. GUA
    GUA is the vehicle registration code used on license plates for vehicles registered in Guatemala City, the capital of Guatemala.
  • B. GAU
    GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
  • C. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • D. GUF
    GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
  • E. Garoua
    Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1e872448190a1d6c6071b2a294b completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71db927c8190a76cfb873039b04b completed March 9, 2026, 7:08 a.m.
NEDg Description generation batch_69ae7486bf808190a732e5eb7744b087 completed March 9, 2026, 7:19 a.m.
NED2 Entity disambiguation (via description) batch_69ae74eb89448190895fab4a493c6d08 completed March 9, 2026, 7:21 a.m.
Created at: March 4, 2026, 7:48 p.m.