Triple

T13623935
Position Surface form Disambiguated ID Type / Status
Subject Beckenham Junction railway station E325528 entity
Predicate hasStationCode P1289 FINISHED
Object BKJ
BKJ is the National Rail station code for Beckenham Junction railway station in south-east London.
E1051220 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: BKJ | Statement: [Beckenham Junction railway station, hasStationCode, BKJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BKJ
Context triple: [Beckenham Junction railway station, hasStationCode, BKJ]
  • A. BK
    BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
  • B. BK
    BK is the vehicle registration code assigned to motor vehicles registered in Bobo-Dioulasso, a major city in Burkina Faso.
  • C. BKB
    BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
  • D. BJK
    BJK is the commonly used abbreviation for Beşiktaş JK, one of Turkey’s most prominent and historic multi-sport clubs best known for its football team.
  • E. BKR
    BKR was the abbreviated name of the People's Security Agency, an early post-World War II Indonesian security and defense organization.
  • 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: BKJ
Triple: [Beckenham Junction railway station, hasStationCode, BKJ]
Generated description
BKJ is the National Rail station code for Beckenham Junction railway station in south-east London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BKJ
Target entity description: BKJ is the National Rail station code for Beckenham Junction railway station in south-east London.
  • A. BK
    BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
  • B. BK
    BK is the vehicle registration code assigned to motor vehicles registered in Bobo-Dioulasso, a major city in Burkina Faso.
  • C. BKB
    BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
  • D. BJK
    BJK is the commonly used abbreviation for Beşiktaş JK, one of Turkey’s most prominent and historic multi-sport clubs best known for its football team.
  • E. BKR
    BKR was the abbreviated name of the People's Security Agency, an early post-World War II Indonesian security and defense organization.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9b0b648190afee93121483f45f completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa4c5fc8190bd791f181fce2aa1 completed May 3, 2026, 5:02 p.m.
NEDg Description generation batch_69f78070e95c819088982e26fe2d8e26 completed May 3, 2026, 5:05 p.m.
NED2 Entity disambiguation (via description) batch_69f78157b9cc8190a1855cb9715aa7d5 completed May 3, 2026, 5:09 p.m.
Created at: April 9, 2026, 9:50 p.m.