Triple

T6811698
Position Surface form Disambiguated ID Type / Status
Subject Tesorería General de la República E156648 entity
Predicate shortName P43 FINISHED
Object TGR
TGR is the acronym for Chile’s Tesorería General de la República, the public institution responsible for managing and safeguarding the central government’s financial resources and tax revenues.
 E620589 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: TGR | Statement: [Tesorería General de la República, shortName, TGR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TGR
Context triple: [Tesorería General de la República, shortName, TGR]
  • A. TGR Foundation
    TGR Foundation is a charitable organization focused on providing educational opportunities and support to underserved youth, established by professional golfer Tiger Woods.
  • B. TGM
    TGM is a suburban rail line serving the Buenos Aires metropolitan area, connecting the city with its northern suburbs.
  • C. TRG
    TRG is the IATA airport code for Tauranga Airport in Tauranga, New Zealand.
  • D. TG
    TG is the IATA airline designator used to identify Thai Airways International on flight schedules and tickets.
  • E. TGO
    TGO is the three-letter ISO 3166-1 alpha-3 country code assigned to the West African nation of Togo.
  • 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: TGR
Triple: [Tesorería General de la República, shortName, TGR]
Generated description
TGR is the acronym for Chile’s Tesorería General de la República, the public institution responsible for managing and safeguarding the central government’s financial resources and tax revenues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TGR
Target entity description: TGR is the acronym for Chile’s Tesorería General de la República, the public institution responsible for managing and safeguarding the central government’s financial resources and tax revenues.
  • A. TGR Foundation
    TGR Foundation is a charitable organization focused on providing educational opportunities and support to underserved youth, established by professional golfer Tiger Woods.
  • B. TGM
    TGM is a suburban rail line serving the Buenos Aires metropolitan area, connecting the city with its northern suburbs.
  • C. TRG
    TRG is the IATA airport code for Tauranga Airport in Tauranga, New Zealand.
  • D. TG
    TG is the IATA airline designator used to identify Thai Airways International on flight schedules and tickets.
  • E. TGO
    TGO is the three-letter ISO 3166-1 alpha-3 country code assigned to the West African nation of Togo.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d327e37081909d576e6eff9eec97 completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71aa7dc3c81909ef422b5c51ae6be completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71e7cd6448190845888760c677eda completed March 28, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_69c71edd37048190bf4de088ad9f11de completed March 28, 2026, 12:20 a.m.
Created at: March 27, 2026, 2:16 p.m.