Triple

T12887763
Position Surface form Disambiguated ID Type / Status
Subject Vasai Road E308272 entity
Predicate stationCode P1289 FINISHED
Object BSR
BSR is the railway station code for Vasai Road, a major suburban and junction station in the Mumbai railway network.
 E1008415 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: BSR | Statement: [Vasai Road, stationCode, BSR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BSR
Context triple: [Vasai Road, stationCode, BSR]
  • A. BSR
    BSR is the abbreviated name for Germany’s Federal Security Council, the federal government body responsible for coordinating national security and arms export policy.
  • B. BSR
    BSR is the National Rail station code for Broadstairs railway station in Kent, England.
  • C. BSB
    BSB is the commonly used abbreviation for the Bar Standards Board, the regulatory body for barristers and specialised legal services in England and Wales.
  • D. BSB
    BSB is the IATA airport code for Brasília International Airport, the main air gateway serving Brazil’s capital city.
  • E. BSB
    BSB is the abbreviation for Bayerische Seenschifffahrt, the company that operates passenger shipping services on major Bavarian lakes in Germany.
  • 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: BSR
Triple: [Vasai Road, stationCode, BSR]
Generated description
BSR is the railway station code for Vasai Road, a major suburban and junction station in the Mumbai railway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BSR
Target entity description: BSR is the railway station code for Vasai Road, a major suburban and junction station in the Mumbai railway network.
  • A. BSR
    BSR is the abbreviated name for Germany’s Federal Security Council, the federal government body responsible for coordinating national security and arms export policy.
  • B. BSR
    BSR is the National Rail station code for Broadstairs railway station in Kent, England.
  • C. BSB
    BSB is the commonly used abbreviation for the Bar Standards Board, the regulatory body for barristers and specialised legal services in England and Wales.
  • D. BSB
    BSB is the IATA airport code for Brasília International Airport, the main air gateway serving Brazil’s capital city.
  • E. BSB
    BSB is the abbreviation for Bayerische Seenschifffahrt, the company that operates passenger shipping services on major Bavarian lakes in Germany.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714581988190afc720ffd7797860 completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a5576ae4819084914697b2e86d9f completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a641d1988190b9af41c8c7ca599e completed May 3, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6a7792f948190bb0b324bee0cd8ac completed May 3, 2026, 1:40 a.m.
Created at: April 9, 2026, 5:39 p.m.