Triple

T9575508
Position Surface form Disambiguated ID Type / Status
Subject Brazilian Payment System E231034 entity
Predicate component P35 FINISHED
Object STR
STR is Brazil’s real-time gross settlement system used by financial institutions to process and settle large-value interbank payments securely and efficiently.
 E806349 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: STR | Statement: [Brazilian Payment System, component, STR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: STR
Context triple: [Brazilian Payment System, component, STR]
  • A. STR
    STR is the three-letter IATA airport code for Stuttgart Airport, the international airport serving Stuttgart, Germany.
  • B. STR
    STR is the common abbreviation for the Straubing Tigers, a professional ice hockey team based in Straubing, Germany.
  • C. ST
    ST is the common abbreviation for Stade Toulousain, a leading French rugby union club based in Toulouse.
  • D. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • E. ST
    ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
  • 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: STR
Triple: [Brazilian Payment System, component, STR]
Generated description
STR is Brazil’s real-time gross settlement system used by financial institutions to process and settle large-value interbank payments securely and efficiently.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: STR
Target entity description: STR is Brazil’s real-time gross settlement system used by financial institutions to process and settle large-value interbank payments securely and efficiently.
  • A. STR
    STR is the common abbreviation for the Straubing Tigers, a professional ice hockey team based in Straubing, Germany.
  • B. STR
    STR is the three-letter IATA airport code for Stuttgart Airport, the international airport serving Stuttgart, Germany.
  • C. ST
    ST is the common abbreviation for Stade Toulousain, a leading French rugby union club based in Toulouse.
  • D. ST
    ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
  • E. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99aa964c8190a50717edff30f10b completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152c3f1e8819099f3f9d0f1d2d7b3 completed April 4, 2026, 6:04 p.m.
NEDg Description generation batch_69d1536742d88190aff89f2a23f7e67e completed April 4, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_69d153c42a30819097279446e3db01b9 completed April 4, 2026, 6:09 p.m.
Created at: March 30, 2026, 8:05 p.m.