Triple

T14433117
Position Surface form Disambiguated ID Type / Status
Subject Bexley railway station E357884 entity
Predicate stationCode P1289 FINISHED
Object BXY
BXY is the National Rail station code for Bexley railway station in the London Borough of Bexley, England.
 E1098361 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: BXY | Statement: [Bexley railway station, stationCode, BXY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BXY
Context triple: [Bexley railway station, stationCode, BXY]
  • A. BX
    BX is the IATA airline designator for Air Busan, a South Korean low-cost carrier based in Busan.
  • B. BX
    BX is the standard borough code used to represent the Bronx in New York City’s administrative and planning systems.
  • C. BX
    BX is the stock ticker symbol for Blackstone Inc., a leading global alternative asset management firm specializing in private equity, real estate, credit, and hedge fund solutions.
  • D. BXA
    BXA is the former acronym for the U.S. Bureau of Export Administration, the federal agency that oversaw export controls and dual-use technology regulations.
  • E. XY
    XY is the two-letter IATA airline designator assigned to Flynas, a Saudi Arabian low-cost carrier.
  • 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: BXY
Triple: [Bexley railway station, stationCode, BXY]
Generated description
BXY is the National Rail station code for Bexley railway station in the London Borough of Bexley, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BXY
Target entity description: BXY is the National Rail station code for Bexley railway station in the London Borough of Bexley, England.
  • A. BX
    BX is the IATA airline designator for Air Busan, a South Korean low-cost carrier based in Busan.
  • B. BX
    BX is the standard borough code used to represent the Bronx in New York City’s administrative and planning systems.
  • C. BX
    BX is the stock ticker symbol for Blackstone Inc., a leading global alternative asset management firm specializing in private equity, real estate, credit, and hedge fund solutions.
  • D. BXA
    BXA is the former acronym for the U.S. Bureau of Export Administration, the federal agency that oversaw export controls and dual-use technology regulations.
  • E. XY
    XY is the two-letter IATA airline designator assigned to Flynas, a Saudi Arabian low-cost carrier.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91471a648190adb7b283a6a85c3e completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bd5b1d08190a89e6f004a94b361 completed May 8, 2026, 3:43 a.m.
NEDg Description generation batch_69fd5ca8e36c8190873d0e2a82f62623 completed May 8, 2026, 3:46 a.m.
NED2 Entity disambiguation (via description) batch_69fd5d46d974819085a43c51b414ff9a completed May 8, 2026, 3:49 a.m.
Created at: April 10, 2026, 1:18 a.m.