Triple

T13062830
Position Surface form Disambiguated ID Type / Status
Subject Beckenham Road tram stop E329240 entity
Predicate hasStationCode P1289 FINISHED
Object BKR
BKR is the station code for Beckenham Road tram stop on the Tramlink network in south London, England.
 E1017447 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: BKR | Statement: [Beckenham Road tram stop, hasStationCode, BKR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BKR
Context triple: [Beckenham Road tram stop, hasStationCode, BKR]
  • A. BKR
    BKR was the abbreviated name of the People's Security Agency, an early post-World War II Indonesian security and defense organization.
  • B. BKR
    BKR is the postal code prefix used for addresses in the town of Birkirkara in Malta.
  • C. BK
    BK is the vehicle registration code assigned to motor vehicles registered in Bobo-Dioulasso, a major city in Burkina Faso.
  • D. BK
    BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
  • E. BKL
    BKL is an alternative name for the Big Circle Line, a major circular metro line in Moscow’s rapid transit system.
  • 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: BKR
Triple: [Beckenham Road tram stop, hasStationCode, BKR]
Generated description
BKR is the station code for Beckenham Road tram stop on the Tramlink network in south London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BKR
Target entity description: BKR is the station code for Beckenham Road tram stop on the Tramlink network in south London, England.
  • A. BKR
    BKR was the abbreviated name of the People's Security Agency, an early post-World War II Indonesian security and defense organization.
  • B. BKR
    BKR is the postal code prefix used for addresses in the town of Birkirkara in Malta.
  • C. BK
    BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
  • D. BK
    BK is the vehicle registration code assigned to motor vehicles registered in Bobo-Dioulasso, a major city in Burkina Faso.
  • E. BKL
    BKL is an alternative name for the Big Circle Line, a major circular metro line in Moscow’s rapid transit system.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980e9bdfc81908eb90fb50597df64 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe45c8c819080fbdf1d94376feb completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6cd3d5090819091b65f544ad139fd completed May 3, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_69f6cdc8d52c819083717a455d589646 completed May 3, 2026, 4:23 a.m.
Created at: April 9, 2026, 8:59 p.m.