Triple

T9632159
Position Surface form Disambiguated ID Type / Status
Subject Szeged Biological Research Centre E232832 entity
Predicate abbreviation P43 FINISHED
Object BRC
BRC is a major Hungarian life sciences research institute in Szeged known for its work in molecular biology, genetics, biochemistry, and related fields.
 E812204 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: BRC | Statement: [Szeged Biological Research Centre, abbreviation, BRC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BRC
Context triple: [Szeged Biological Research Centre, abbreviation, BRC]
  • A. 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.
  • B. BRC
    BRC is the IATA airport code for San Carlos de Bariloche’s main international airport in Argentina.
  • C. BRC
    BRC is the station code for Branchton railway station, a local rail stop in Scotland’s Inverclyde area.
  • D. 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.
  • E. BRCOB
    BRCOB is the UN/LOCODE identifying the Brazilian river port city of Corumbá, an important logistics hub near the Bolivia border.
  • 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: BRC
Triple: [Szeged Biological Research Centre, abbreviation, BRC]
Generated description
BRC is a major Hungarian life sciences research institute in Szeged known for its work in molecular biology, genetics, biochemistry, and related fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BRC
Target entity description: BRC is a major Hungarian life sciences research institute in Szeged known for its work in molecular biology, genetics, biochemistry, and related fields.
  • A. 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.
  • B. BRC
    BRC is the IATA airport code for San Carlos de Bariloche’s main international airport in Argentina.
  • C. BRC
    BRC is the station code for Branchton railway station, a local rail stop in Scotland’s Inverclyde area.
  • D. 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.
  • E. BRCOB
    BRCOB is the UN/LOCODE identifying the Brazilian river port city of Corumbá, an important logistics hub near the Bolivia border.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b2783b48190a9929dc3e3cd2956 completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18232e34c8190a19685ee9210e88b completed April 4, 2026, 9:27 p.m.
NEDg Description generation batch_69d18324756c819089eb7edc107ed8b2 completed April 4, 2026, 9:31 p.m.
NED2 Entity disambiguation (via description) batch_69d1856b88908190a787765e1d8f001f completed April 4, 2026, 9:40 p.m.
Created at: March 30, 2026, 8:11 p.m.