Triple

T1654659
Position Surface form Disambiguated ID Type / Status
Subject Barlow Moor Road E35770 entity
Predicate hasStationCode P1289 FINISHED
Object BMR
BMR is the National Rail station code for Barlow Moor Road railway station in the United Kingdom.
E186992 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: BMR | Statement: [Barlow Moor Road, hasStationCode, BMR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMR
Context triple: [Barlow Moor Road, hasStationCode, BMR]
  • A. BODR
    BODR is a studio album by American rapper Snoop Dogg, released in 2022 and known for marking his return to Death Row Records.
  • B. BUR
    BUR is the three-letter IATA airport code for Hollywood Burbank Airport, a commercial airport serving the Los Angeles area in Southern California.
  • C. BR
    BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
  • D. BR
    BR is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Brazil in international standards and systems.
  • E. BHR
    BHR is the three-letter ISO 3166-1 alpha-3 country code assigned to the Kingdom of Bahrain.
  • 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: BMR
Triple: [Barlow Moor Road, hasStationCode, BMR]
Generated description
BMR is the National Rail station code for Barlow Moor Road railway station in the United Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BMR
Target entity description: BMR is the National Rail station code for Barlow Moor Road railway station in the United Kingdom.
  • A. BODR
    BODR is a studio album by American rapper Snoop Dogg, released in 2022 and known for marking his return to Death Row Records.
  • B. BUR
    BUR is the three-letter IATA airport code for Hollywood Burbank Airport, a commercial airport serving the Los Angeles area in Southern California.
  • C. BR
    BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
  • D. BR
    BR is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Brazil in international standards and systems.
  • E. BHR
    BHR is the three-letter ISO 3166-1 alpha-3 country code assigned to the Kingdom of Bahrain.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a8b597c81908a62b41718d85df6 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60ad3bb48190a096ff7813748168 completed March 8, 2026, 11:42 a.m.
NEDg Description generation batch_69ad61ff65b881909009c230780a146e completed March 8, 2026, 11:48 a.m.
NED2 Entity disambiguation (via description) batch_69ad62ec3a80819085fef1c378b9abdc completed March 8, 2026, 11:52 a.m.
Created at: March 4, 2026, 7:29 p.m.