Triple

T12417000
Position Surface form Disambiguated ID Type / Status
Subject Great Malvern railway station E296661 entity
Predicate stationCode P1289 FINISHED
Object GMV
GMV is the National Rail station code for Great Malvern railway station in Worcestershire, England.
 E980949 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: GMV | Statement: [Great Malvern railway station, stationCode, GMV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GMV
Context triple: [Great Malvern railway station, stationCode, GMV]
  • A. GTM
    GTM is the three-letter ISO 3166-1 alpha-3 country code assigned to Guatemala.
  • B. GTM
    GTM was a former name of Vinci, the major French concessions and construction company involved in large-scale infrastructure projects worldwide.
  • C. GVM
    GVM is the vehicle registration code used for motor vehicles registered in the district of Nordwestmecklenburg in the German state of Mecklenburg-Vorpommern.
  • D. GMZ
    GMZ is the IATA airport code for La Gomera Airport, which serves the island of La Gomera in Spain’s Canary Islands.
  • E. BMV
    BMV is the main stock exchange in Mexico, serving as the country’s central marketplace for trading equities and other financial instruments.
  • 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: GMV
Triple: [Great Malvern railway station, stationCode, GMV]
Generated description
GMV is the National Rail station code for Great Malvern railway station in Worcestershire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GMV
Target entity description: GMV is the National Rail station code for Great Malvern railway station in Worcestershire, England.
  • A. GTM
    GTM is the three-letter ISO 3166-1 alpha-3 country code assigned to Guatemala.
  • B. GTM
    GTM was a former name of Vinci, the major French concessions and construction company involved in large-scale infrastructure projects worldwide.
  • C. GVM
    GVM is the vehicle registration code used for motor vehicles registered in the district of Nordwestmecklenburg in the German state of Mecklenburg-Vorpommern.
  • D. GMZ
    GMZ is the IATA airport code for La Gomera Airport, which serves the island of La Gomera in Spain’s Canary Islands.
  • E. BMV
    BMV is the main stock exchange in Mexico, serving as the country’s central marketplace for trading equities and other financial instruments.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6de5808190b2116b0b491c40b5 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634915940819092665f1f35aa823d completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f635997b088190b6207fcac5594eb2 completed May 2, 2026, 5:34 p.m.
NED2 Entity disambiguation (via description) batch_69f636d727a08190882eec3fd664b64d completed May 2, 2026, 5:39 p.m.
Created at: April 8, 2026, 9:55 p.m.