Triple

T16689169
Position Surface form Disambiguated ID Type / Status
Subject Nowy Dwór Mazowiecki E405547 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object WND
WND is the vehicle registration code assigned to cars registered in Nowy Dwór Mazowiecki, a town in Poland.
E406589 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: [Nowy Dwór Mazowiecki, vehicleRegistrationCode, WND]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WND
Context triple: [Nowy Dwór Mazowiecki, 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: [Nowy Dwór Mazowiecki, vehicleRegistrationCode, WND]
Generated description
WND is the vehicle registration code assigned to cars registered in Nowy Dwór Mazowiecki, a town in Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WND
Target entity description: WND is the vehicle registration code assigned to cars registered in Nowy Dwór Mazowiecki, a town in Poland.
  • A. WND chosen
    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.

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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea80d88819091fc61ed3c01955a completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a45af7c8190bfe09dd0e0573573 completed May 10, 2026, 1:38 p.m.
NEDg Description generation batch_6a008b41a1648190bd1c2268c8a80ee2 completed May 10, 2026, 1:42 p.m.
NED2 Entity disambiguation (via description) batch_6a008c2bcac48190801ba34fde104a8a completed May 10, 2026, 1:46 p.m.
Created at: April 10, 2026, 5:19 a.m.