Triple

T17832193
Position Surface form Disambiguated ID Type / Status
Subject Nunkirchen E445284 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object WND
WND is the vehicle registration code for the Sankt Wendel district in the German state of Saarland.
E1291267 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: WND | Statement: [Nunkirchen, vehicleRegistrationCode, WND]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WND
Context triple: [Nunkirchen, vehicleRegistrationCode, WND]
  • A. WND
    WND is the vehicle registration code assigned to the Leoncin area in Poland.
  • B. WD
    WD is a consumer-facing brand of Western Digital known for its hard drives, solid-state drives, and other data storage products.
  • C. WD
    WD is a UK postcode area covering parts of southwest Hertfordshire and northwest Greater London, including towns such as Watford.
  • D. WD
    WD is the National Rail station code for Woodside railway station in London, England.
  • E. WN
    WN is the vehicle registration code used on license plates for the Waiblingen district in the German state of Baden-Württemberg.
  • 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: WND
Triple: [Nunkirchen, vehicleRegistrationCode, WND]
Generated description
WND is the vehicle registration code for the Sankt Wendel district in the German state of Saarland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WND
Target entity description: WND is the vehicle registration code for the Sankt Wendel district in the German state of Saarland.
  • A. WND
    WND is the vehicle registration code assigned to the Leoncin area in Poland.
  • B. WD
    WD is a consumer-facing brand of Western Digital known for its hard drives, solid-state drives, and other data storage products.
  • C. WD
    WD is the National Rail station code for Woodside railway station in London, England.
  • D. WD
    WD is a UK postcode area covering parts of southwest Hertfordshire and northwest Greater London, including towns such as Watford.
  • E. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d257414819088730f48ad7ab9ae completed April 19, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0306f656788190814c2659b53e98ae completed May 12, 2026, 10:54 a.m.
NEDg Description generation batch_6a0307af95bc819099ff1322c091d04a completed May 12, 2026, 10:57 a.m.
NED2 Entity disambiguation (via description) batch_6a0308a29f1081909a44c221aefb723c completed May 12, 2026, 11:01 a.m.
Created at: April 10, 2026, 10:15 a.m.