Triple

T7924740
Position Surface form Disambiguated ID Type / Status
Subject British Leyland E184031 entity
Predicate shortName P43 FINISHED
Object 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.
 E698069 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: BL | Statement: [British Leyland, shortName, BL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BL
Context triple: [British Leyland, shortName, BL]
  • A. BL
    BL is the vehicle registration code used on license plates for the Swiss canton of Basel-Landschaft.
  • B. BL
    BL is the postcode area in the United Kingdom that covers Bolton and surrounding parts of Greater Manchester and Lancashire.
  • C. BL
    BL is the two-letter ISO 3166-1 alpha-2 country code assigned to the Caribbean island territory of Saint Barthélemy.
  • D. BL
    BL is the vehicle registration code used for the city of Banja Luka in Bosnia and Herzegovina.
  • E. BL
    BL is the vehicle registration code used on license plates for vehicles registered in the Bratislava Region of Slovakia.
  • 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: BL
Triple: [British Leyland, shortName, BL]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BL
Target entity description: 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.
  • A. BL
    BL is the vehicle registration code used on license plates for the Swiss canton of Basel-Landschaft.
  • B. BL
    BL is the postcode area in the United Kingdom that covers Bolton and surrounding parts of Greater Manchester and Lancashire.
  • C. BL
    BL is the two-letter ISO 3166-1 alpha-2 country code assigned to the Caribbean island territory of Saint Barthélemy.
  • D. BL
    BL is the vehicle registration code used on license plates for vehicles registered in the Bratislava Region of Slovakia.
  • E. BL
    BL is the vehicle registration code used for the city of Banja Luka in Bosnia and Herzegovina.
  • 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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aad48908190911905b4635bf01e completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bf3c3288190ac3df917be92f9f8 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f222c808190b9ef39896f149278 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76c896c08190a67a5b572436f2d9 completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:06 p.m.