Triple

T21738544
Position Surface form Disambiguated ID Type / Status
Subject Belper railway station E536588 entity
Predicate hasStationCode P1289 FINISHED
Object BLP
BLP is the National Rail station code for Belper railway station in Derbyshire, England.
 E1499927 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: BLP | Statement: [Belper railway station, hasStationCode, BLP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BLP
Context triple: [Belper railway station, hasStationCode, BLP]
  • A. BLP
    BLP is the commonly used abbreviation for the Barbados Labour Party, a major political party in Barbados.
  • B. BLB
    BLB is the IATA airport code for Panama Pacifico International Airport, a commercial airport serving the Panama City area in Panama.
  • C. BL
    BL is the vehicle registration code used for the city of Banja Luka in Bosnia and Herzegovina.
  • D. BL
    BL is the vehicle registration code used on license plates for the Swiss canton of Basel-Landschaft.
  • E. BL
    BL is the commonly used abbreviation for British Leyland, a major former UK vehicle manufacturer known for producing a wide range of cars, trucks, and buses in the 20th century.
  • 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: BLP
Triple: [Belper railway station, hasStationCode, BLP]
Generated description
BLP is the National Rail station code for Belper railway station in Derbyshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BLP
Target entity description: BLP is the National Rail station code for Belper railway station in Derbyshire, England.
  • A. BLP
    BLP is the commonly used abbreviation for the Barbados Labour Party, a major political party in Barbados.
  • B. BLB
    BLB is the IATA airport code for Panama Pacifico International Airport, a commercial airport serving the Panama City area in Panama.
  • C. BL
    BL is the vehicle registration code used for the city of Banja Luka in Bosnia and Herzegovina.
  • D. BL
    BL is the vehicle registration code used on license plates for the Swiss canton of Basel-Landschaft.
  • E. BL
    BL is the commonly used abbreviation for British Leyland, a major former UK vehicle manufacturer known for producing a wide range of cars, trucks, and buses in the 20th century.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd0e94c4819096bace0c661f5156 completed April 28, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a2ed6393c8190973dda40d63eb736 completed May 17, 2026, 9:10 p.m.
NEDg Description generation batch_6a0a305abef08190ae24c97fa5a528e3 completed May 17, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_6a0a30ec03808190a7f6028243e5728a completed May 17, 2026, 9:19 p.m.
Created at: April 16, 2026, 6:49 p.m.