Triple

T23498513
Position Surface form Disambiguated ID Type / Status
Subject Corumbá E571768 entity
Predicate hasUNLOCODE P1492 FINISHED
Object BRCOB NE NERFINISHED

How this triple was built (2 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. BRCOB chosen
    BRCOB is the UN/LOCODE identifying the Brazilian river port city of Corumbá, an important logistics hub near the Bolivia border.
  • B. BRC
    BRC is the vehicle registration code used for the city of Brčko in Bosnia and Herzegovina.
  • C. BRC
    BRC is an abbreviation commonly used to refer to a Board Risk Committee, the governing body responsible for overseeing an organization’s risk management framework and policies.
  • D. BRC
    BRC is a major Hungarian life sciences research institute in Szeged known for its work in molecular biology, genetics, biochemistry, and related fields.
  • E. BRC
    BRC is the railway station code for Vadodara Junction, a major rail hub in the Indian state of Gujarat.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7e184ec8190aff3677c9b00a8f2 completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:06 p.m.