Triple

T10556265
Position Surface form Disambiguated ID Type / Status
Subject Barmouth railway station E249093 entity
Predicate stationCode P1289 FINISHED
Object BRM
BRM is the National Rail station code for Barmouth railway station in Gwynedd, Wales.
 E870437 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: BRM | Statement: [Barmouth railway station, stationCode, BRM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BRM
Context triple: [Barmouth railway station, stationCode, BRM]
  • A. BRM
    BRM (British Racing Motors) was a British Formula One constructor and team known for competing in the World Championship from the 1950s to the 1970s and winning the 1962 Constructors' title.
  • B. BNRM
    BNRM is the National Library of the Kingdom of Morocco, serving as the country’s main institution for preserving and providing access to its written and documentary heritage.
  • C. BRMB
    BRMB is the commonly used abbreviation for the Big Red Marching Band, the marching band of Cornell University.
  • D. BRS
    BRS is the IATA airport code for Bristol Airport, a major regional airport serving Bristol and the southwest of England.
  • E. BRS
    BRS is the acronym commonly used for Biotechnology Regulatory Services, a U.S. regulatory program overseeing the safe development and use of certain genetically engineered organisms.
  • 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: BRM
Triple: [Barmouth railway station, stationCode, BRM]
Generated description
BRM is the National Rail station code for Barmouth railway station in Gwynedd, Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BRM
Target entity description: BRM is the National Rail station code for Barmouth railway station in Gwynedd, Wales.
  • A. BRM
    BRM (British Racing Motors) was a British Formula One constructor and team known for competing in the World Championship from the 1950s to the 1970s and winning the 1962 Constructors' title.
  • B. BNRM
    BNRM is the National Library of the Kingdom of Morocco, serving as the country’s main institution for preserving and providing access to its written and documentary heritage.
  • C. BRMB
    BRMB is the commonly used abbreviation for the Big Red Marching Band, the marching band of Cornell University.
  • D. BRS
    BRS is the IATA airport code for Bristol Airport, a major regional airport serving Bristol and the southwest of England.
  • E. BRS
    BRS is the acronym commonly used for Biotechnology Regulatory Services, a U.S. regulatory program overseeing the safe development and use of certain genetically engineered organisms.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d52713eaa48190936b4b15e2c7e827 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9347ae67081909cb2c3911cb1be67 completed April 10, 2026, 5:33 p.m.
NEDg Description generation batch_69d938c979788190b11b02748ed44153 completed April 10, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69d9398b63f08190910dd838ad11de6e completed April 10, 2026, 5:55 p.m.
Created at: April 6, 2026, 12:35 p.m.