Triple

T22340993
Position Surface form Disambiguated ID Type / Status
Subject Buxar railway station E552272 entity
Predicate hasStationCode P1289 FINISHED
Object BXR
BXR is the station code for Buxar railway station, an Indian Railways stop serving the town of Buxar in Bihar, India.
E1530823 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: BXR | Statement: [Buxar railway station, hasStationCode, BXR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BXR
Context triple: [Buxar railway station, hasStationCode, BXR]
  • 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 stock ticker symbol for Blackstone Inc., a leading global alternative asset management firm specializing in private equity, real estate, credit, and hedge fund solutions.
  • C. BX
    BX is the standard borough code used to represent the Bronx in New York City’s administrative and planning systems.
  • D. SXR
    SXR is the IATA airport code for Srinagar International Airport, the main air gateway to the Kashmir Valley in India.
  • E. 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.
  • 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: BXR
Triple: [Buxar railway station, hasStationCode, BXR]
Generated description
BXR is the station code for Buxar railway station, an Indian Railways stop serving the town of Buxar in Bihar, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BXR
Target entity description: BXR is the station code for Buxar railway station, an Indian Railways stop serving the town of Buxar in Bihar, India.
  • 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 stock ticker symbol for Blackstone Inc., a leading global alternative asset management firm specializing in private equity, real estate, credit, and hedge fund solutions.
  • C. BX
    BX is the standard borough code used to represent the Bronx in New York City’s administrative and planning systems.
  • D. SXR
    SXR is the IATA airport code for Srinagar International Airport, the main air gateway to the Kashmir Valley in India.
  • E. 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.
  • 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15783637c8190b77885f4e23d7ee5 completed April 29, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ad52f90ac8190b86835cb706986a3 completed May 18, 2026, 9 a.m.
NEDg Description generation batch_6a0ad993b9188190aacf482038b3cd29 completed May 18, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0ada0cef848190864a88d7baa24a81 completed May 18, 2026, 9:21 a.m.
Created at: April 16, 2026, 8:43 p.m.