Triple

T5288081
Position Surface form Disambiguated ID Type / Status
Subject Busko-Zdrój E119672 entity
Predicate carPlatesCode P1173 FINISHED
Object TBU
TBU is the vehicle registration code assigned to cars registered in the Busko-Zdrój area of Poland.
 E508042 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: TBU | Statement: [Busko-Zdrój, carPlatesCode, TBU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TBU
Context triple: [Busko-Zdrój, carPlatesCode, TBU]
  • A. TB
    TB is the standard abbreviation for the Tampa Bay Rays, a Major League Baseball team based in St. Petersburg, Florida.
  • B. TIB
    TIB is a major German academic institution and library specializing in science and technology information, including digital and research data services.
  • C. TWB
    TWB is the IATA airport code for Toowoomba City Aerodrome, a regional airport serving the city of Toowoomba in Queensland, Australia.
  • D. BUC
    BUC is the abbreviated team tag used to represent Bucks Gaming, the NBA 2K League affiliate of the Milwaukee Bucks.
  • E. T-bana
    T-bana is the commonly used Swedish abbreviation for the Stockholm metro system, an extensive rapid transit network serving the Stockholm metropolitan area.
  • 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: TBU
Triple: [Busko-Zdrój, carPlatesCode, TBU]
Generated description
TBU is the vehicle registration code assigned to cars registered in the Busko-Zdrój area of Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TBU
Target entity description: TBU is the vehicle registration code assigned to cars registered in the Busko-Zdrój area of Poland.
  • A. TB
    TB is the standard abbreviation for the Tampa Bay Rays, a Major League Baseball team based in St. Petersburg, Florida.
  • B. TIB
    TIB is a major German academic institution and library specializing in science and technology information, including digital and research data services.
  • C. TWB
    TWB is the IATA airport code for Toowoomba City Aerodrome, a regional airport serving the city of Toowoomba in Queensland, Australia.
  • D. BUC
    BUC is the abbreviated team tag used to represent Bucks Gaming, the NBA 2K League affiliate of the Milwaukee Bucks.
  • E. T-bana
    T-bana is the commonly used Swedish abbreviation for the Stockholm metro system, an extensive rapid transit network serving the Stockholm metropolitan area.
  • 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_69bd446de5648190b313a90bd96730d2 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84db300c8190a63ac51552f0e9a6 completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06ecf4748190ab2bdd672f4ab14d completed March 21, 2026, 9 p.m.
NEDg Description generation batch_69bf090aa7c88190a66694cec6d6a370 completed March 21, 2026, 9:09 p.m.
NED2 Entity disambiguation (via description) batch_69bf09d3b8148190b79bdf3cb77000b4 completed March 21, 2026, 9:12 p.m.
Created at: March 20, 2026, 1:52 p.m.