Triple

T10649391
Position Surface form Disambiguated ID Type / Status
Subject Brembo E250921 entity
Predicate tickerSymbol P1447 FINISHED
Object BRE
BRE is the stock ticker symbol for Brembo, an Italian company renowned worldwide for its high-performance automotive braking systems.
E877215 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: BRE | Statement: [Brembo, tickerSymbol, BRE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BRE
Context triple: [Brembo, tickerSymbol, BRE]
  • A. BR
    BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
  • B. BR
    BR is the IATA airline designator for EVA Air, a major Taiwanese international carrier based in Taoyuan.
  • C. BR
    BR is a postcode area in southeast London and parts of northwest Kent, covering towns such as Bromley and Beckenham.
  • D. BR
    BR is the official vehicle registration code assigned to the Indian state of Bihar.
  • E. BR
    BR is the official station code used to identify Burlington GO Station in Ontario, Canada.
  • 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: BRE
Triple: [Brembo, tickerSymbol, BRE]
Generated description
BRE is the stock ticker symbol for Brembo, an Italian company renowned worldwide for its high-performance automotive braking systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BRE
Target entity description: BRE is the stock ticker symbol for Brembo, an Italian company renowned worldwide for its high-performance automotive braking systems.
  • A. BR
    BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
  • B. BR
    BR is the IATA airline designator for EVA Air, a major Taiwanese international carrier based in Taoyuan.
  • C. BR
    BR is a postcode area in southeast London and parts of northwest Kent, covering towns such as Bromley and Beckenham.
  • D. BR
    BR is the official station code used to identify Burlington GO Station in Ontario, Canada.
  • E. BR
    BR is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Brazil in international standards and systems.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe3ea08819094a945ebb7fc4d3a completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a60fdd881908987f920a19bb41e completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97cc20448819094d650b9c1067dca completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e13913081908dd1fb60fa44db05 completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:06 p.m.