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.