Triple

T6763151
Position Surface form Disambiguated ID Type / Status
Subject Banja Luka E154645 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object BL
BL is the vehicle registration code used for the city of Banja Luka in Bosnia and Herzegovina.
 E618022 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: [Banja Luka, vehicleRegistrationCode, BL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BL
Context triple: [Banja Luka, vehicleRegistrationCode, 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 on license plates for vehicles registered in the Bratislava Region of Slovakia.
  • E. BAL
    BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
  • 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: [Banja Luka, vehicleRegistrationCode, BL]
Generated description
BL is the vehicle registration code used for the city of Banja Luka in Bosnia and Herzegovina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BL
Target entity description: BL is the vehicle registration code used for the city of Banja Luka in Bosnia and Herzegovina.
  • 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. BAL
    BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
  • 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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2160a2c8190837c608a3509c62c completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712b6ec408190bd9131f289b02ba7 completed March 27, 2026, 11:28 p.m.
NEDg Description generation batch_69c713b3accc81908d19c1b00e2c312c completed March 27, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69c7146413748190b844d9422dce42c2 completed March 27, 2026, 11:36 p.m.
Created at: March 27, 2026, 2:12 p.m.