Triple

T10789767
Position Surface form Disambiguated ID Type / Status
Subject Wiesbaden E254546 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object WI
WI is the vehicle registration code used on license plates for the German city of Wiesbaden.
 E885987 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: WI | Statement: [Wiesbaden, vehicleRegistrationCode, WI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WI
Context triple: [Wiesbaden, vehicleRegistrationCode, WI]
  • A. Wisconsin
    Wisconsin is a U.S. state in the Upper Midwest known for its dairy industry, Great Lakes shorelines, and mix of rural landscapes and industrial cities.
  • B. WA
    WA is a UK postcode area covering parts of Warrington and surrounding towns in northwest England.
  • C. WA
    WA is the IATA airline designator assigned to KLM Cityhopper, the regional subsidiary of KLM Royal Dutch Airlines.
  • D. WA
    WA is the vehicle registration code used on license plates for cars registered in Warsaw, the capital city of Poland.
  • E. WV
    WV is the postcode area covering Wolverhampton and surrounding parts of the West Midlands in 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: WI
Triple: [Wiesbaden, vehicleRegistrationCode, WI]
Generated description
WI is the vehicle registration code used on license plates for the German city of Wiesbaden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WI
Target entity description: WI is the vehicle registration code used on license plates for the German city of Wiesbaden.
  • A. Wisconsin
    Wisconsin is a U.S. state in the Upper Midwest known for its dairy industry, Great Lakes shorelines, and mix of rural landscapes and industrial cities.
  • B. WA
    WA is a UK postcode area covering parts of Warrington and surrounding towns in northwest England.
  • C. WA
    WA is the IATA airline designator assigned to KLM Cityhopper, the regional subsidiary of KLM Royal Dutch Airlines.
  • D. WA
    WA is the vehicle registration code used on license plates for cars registered in Warsaw, the capital city of Poland.
  • E. WV
    WV is the postcode area covering Wolverhampton and surrounding parts of the West Midlands in 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732f4b1388190a1364e56a90e8388 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de562873b081908bea08c56b1c1e3f completed April 14, 2026, 2:58 p.m.
NEDg Description generation batch_69de5eadb9448190bdf69711394e2ab7 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de607917808190922df6521d7bfb07 completed April 14, 2026, 3:42 p.m.
Created at: April 8, 2026, 9:17 p.m.