Triple
T4007895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leoncin |
E89570
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
WND
WND is the vehicle registration code assigned to the Leoncin area 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: [Leoncin, vehicleRegistrationCode, WND]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WND Context triple: [Leoncin, vehicleRegistrationCode, WND]
-
A.
WD
WD is a consumer-facing brand of Western Digital known for its hard drives, solid-state drives, and other data storage products.
-
B.
WN
WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
-
C.
WM
WM was the reporting mark for the Western Maryland Railway, a regional U.S. railroad that later became part of the Chessie System.
-
D.
WUN
WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
-
E.
WC
WC is an American West Coast rapper known for his distinctive gravelly voice, solo work, and as a member of the hip hop supergroup Westside Connection.
- 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: [Leoncin, vehicleRegistrationCode, WND]
Generated description
WND is the vehicle registration code assigned to the Leoncin area 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 the Leoncin area in Poland.
-
A.
WD
WD is a consumer-facing brand of Western Digital known for its hard drives, solid-state drives, and other data storage products.
-
B.
WN
WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
-
C.
WM
WM was the reporting mark for the Western Maryland Railway, a regional U.S. railroad that later became part of the Chessie System.
-
D.
WUN
WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
-
E.
WC
WC is an American West Coast rapper known for his distinctive gravelly voice, solo work, and as a member of the hip hop supergroup Westside Connection.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa647f80819081180eb267f1cfcc |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c6ae0ec819099c229a4cfe926f2 |
completed | March 14, 2026, 11:54 a.m. |
| NEDg | Description generation | batch_69b54d41fa008190972411203c8a07f2 |
completed | March 14, 2026, 11:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54de8dc708190b83978b15aed2e13 |
completed | March 14, 2026, noon |
Created at: March 9, 2026, 3:34 p.m.