Triple

T13265101
Position Surface form Disambiguated ID Type / Status
Subject Lubin E315898 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object DLU
DLU is the vehicle registration code assigned to the city of Lubin in Poland.
E1031189 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: DLU | Statement: [Lubin, vehicleRegistrationCode, DLU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DLU
Context triple: [Lubin, vehicleRegistrationCode, DLU]
  • A. DLS
    DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
  • B. DL
    DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
  • C. DL
    DL is the official vehicle registration code used on license plates for motor vehicles registered in Delhi, India.
  • D. DL
    DL is the wartime squadron code used to identify No. 54 Squadron of the Royal Air Force on its aircraft.
  • E. DLT
    DLT is the National Rail station code for Dalton-in-Furness railway station in Cumbria, England.
  • 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: DLU
Triple: [Lubin, vehicleRegistrationCode, DLU]
Generated description
DLU is the vehicle registration code assigned to the city of Lubin in Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DLU
Target entity description: DLU is the vehicle registration code assigned to the city of Lubin in Poland.
  • A. DLS
    DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
  • B. DL
    DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
  • C. DL
    DL is the official vehicle registration code used on license plates for motor vehicles registered in Delhi, India.
  • D. DL
    DL is the wartime squadron code used to identify No. 54 Squadron of the Royal Air Force on its aircraft.
  • E. DLT
    DLT is the National Rail station code for Dalton-in-Furness railway station in Cumbria, England.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901c65048190bd8b3c4872f22520 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4ad79c8190b1304942dc48c0ff completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70b37ebe081909ed2ae0f42ccad2d completed May 3, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_69f70ca343f08190b6484f464ed40810 completed May 3, 2026, 8:51 a.m.
Created at: April 9, 2026, 9:25 p.m.