Triple

T893400
Position Surface form Disambiguated ID Type / Status
Subject Brazil E19289 entity
Predicate ISO3166-1Alpha3 P189 FINISHED
Object BRA
BRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Brazil in international standards and data systems.
 E107120 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: BRA | Statement: [Brazil, ISO3166-1Alpha3, BRA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BRA
Context triple: [Brazil, ISO3166-1Alpha3, BRA]
  • A. BR
    BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
  • B. BR
    BR is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Brazil in international standards and systems.
  • C. BAL
    BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
  • D. BR2
    BR2 is a UK postcode district covering parts of Hayes and surrounding areas in the London Borough of Bromley in southeast England.
  • E. Bal
    Bal is the given name of Bal Gangadhar Tilak, a prominent Indian nationalist leader and social reformer of the late 19th and early 20th centuries.
  • 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: BRA
Triple: [Brazil, ISO3166-1Alpha3, BRA]
Generated description
BRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Brazil in international standards and data systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BRA
Target entity description: BRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Brazil in international standards and data systems.
  • A. BR
    BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
  • B. BR
    BR is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Brazil in international standards and systems.
  • C. BAL
    BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
  • D. BR2
    BR2 is a UK postcode district covering parts of Hayes and surrounding areas in the London Borough of Bromley in southeast England.
  • E. Bal
    Bal is the given name of Bal Gangadhar Tilak, a prominent Indian nationalist leader and social reformer of the late 19th and early 20th centuries.
  • 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad212cd8819091eb1b7d606f5afd completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c730693c81909dfda6c5aca876c5 completed March 4, 2026, 5:46 a.m.
NEDg Description generation batch_69a7c88607648190b7d4e6dd3ec3ad02 completed March 4, 2026, 5:52 a.m.
NED2 Entity disambiguation (via description) batch_69a7c90fe7fc819086070e7c3845e880 completed March 4, 2026, 5:54 a.m.
Created at: March 1, 2026, 7:39 p.m.