Triple

T6144391
Position Surface form Disambiguated ID Type / Status
Subject Corumbá E137038 entity
Predicate hasUNLOCODE P1492 FINISHED
Object BRCOB
BRCOB is the UN/LOCODE identifying the Brazilian river port city of Corumbá, an important logistics hub near the Bolivia border.
 E571768 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: BRCOB | Statement: [Corumbá, hasUNLOCODE, BRCOB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BRCOB
Context triple: [Corumbá, hasUNLOCODE, BRCOB]
  • A. BRC
    BRC is the IATA airport code for San Carlos de Bariloche’s main international airport in Argentina.
  • B. BRC
    BRC is the commonly used abbreviation for Black Rock City, the temporary city built annually in Nevada’s Black Rock Desert for the Burning Man festival.
  • C. BLC
    BLC is the commonly used abbreviation for the Boston Landmarks Commission, the city agency responsible for identifying and protecting Boston’s historic buildings and districts.
  • D. COOB
    COOB is the namesake associated with Cobi, the official mascot of the 1992 Barcelona Olympic Games.
  • E. BCB
    BCB is the Central Bank of Brazil, the country’s primary monetary authority responsible for implementing monetary policy, regulating the financial system, and issuing currency.
  • 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: BRCOB
Triple: [Corumbá, hasUNLOCODE, BRCOB]
Generated description
BRCOB is the UN/LOCODE identifying the Brazilian river port city of Corumbá, an important logistics hub near the Bolivia border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BRCOB
Target entity description: BRCOB is the UN/LOCODE identifying the Brazilian river port city of Corumbá, an important logistics hub near the Bolivia border.
  • A. BRC
    BRC is the IATA airport code for San Carlos de Bariloche’s main international airport in Argentina.
  • B. BRC
    BRC is the commonly used abbreviation for Black Rock City, the temporary city built annually in Nevada’s Black Rock Desert for the Burning Man festival.
  • C. BLC
    BLC is the commonly used abbreviation for the Boston Landmarks Commission, the city agency responsible for identifying and protecting Boston’s historic buildings and districts.
  • D. COOB
    COOB is the namesake associated with Cobi, the official mascot of the 1992 Barcelona Olympic Games.
  • E. BCB
    BCB is the Central Bank of Brazil, the country’s primary monetary authority responsible for implementing monetary policy, regulating the financial system, and issuing currency.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cb645508190aea2d77c9de174ba completed March 22, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135f88db881908b8a5d9c35bf0fbb completed March 23, 2026, 12:45 p.m.
NEDg Description generation batch_69c13742de1c819093404a1a951a0af0 completed March 23, 2026, 12:51 p.m.
NED2 Entity disambiguation (via description) batch_69c137c384288190a485594f20f7256b completed March 23, 2026, 12:53 p.m.
Created at: March 22, 2026, 4:16 p.m.