Triple

T474675
Position Surface form Disambiguated ID Type / Status
Subject São Paulo E9033 entity
Predicate UNLOCODE P1800 FINISHED
Object BRSAO
BRSAO is the UN/LOCODE designation for the Brazilian city and major economic hub of São Paulo.
 E59700 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: BRSAO | Statement: [São Paulo, UNLOCODE, BRSAO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BRSAO
Context triple: [São Paulo, UNLOCODE, BRSAO]
  • A. BSA
    BSA is a U.S. anti-money laundering law that requires financial institutions to assist government agencies in detecting and preventing financial crimes.
  • B. BOA
    BOA is the abbreviation commonly used for the British Olympic Association, the National Olympic Committee responsible for Great Britain and Northern Ireland’s participation in the Olympic Games.
  • C. OASAM
    OASAM is a division of the U.S. Department of Labor responsible for providing administrative, management, and support services across the department.
  • D. BAL
    BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
  • E. SAU
    SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
  • 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: BRSAO
Triple: [São Paulo, UNLOCODE, BRSAO]
Generated description
BRSAO is the UN/LOCODE designation for the Brazilian city and major economic hub of São Paulo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BRSAO
Target entity description: BRSAO is the UN/LOCODE designation for the Brazilian city and major economic hub of São Paulo.
  • A. BSA
    BSA is a U.S. anti-money laundering law that requires financial institutions to assist government agencies in detecting and preventing financial crimes.
  • B. BOA
    BOA is the abbreviation commonly used for the British Olympic Association, the National Olympic Committee responsible for Great Britain and Northern Ireland’s participation in the Olympic Games.
  • C. OASAM
    OASAM is a division of the U.S. Department of Labor responsible for providing administrative, management, and support services across the department.
  • D. BAL
    BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
  • E. SAU
    SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
  • 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_69a2e7ff81708190b0507a24a997232c completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f039f3d88190a7c93ecbf1bf5f58 completed Feb. 28, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69a468010c10819090d325d6c3d6f50c completed March 1, 2026, 4:23 p.m.
NEDg Description generation batch_69a468b2515881908bc2beb93685f404 completed March 1, 2026, 4:26 p.m.
NED2 Entity disambiguation (via description) batch_69a46912b7f48190979fb2ebd8e027e9 completed March 1, 2026, 4:28 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.