Triple
T883198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hradec Králové |
E19071
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
HK
HK is the vehicle registration code used for the Czech city of Hradec Králové.
|
E103671
|
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: HK | Statement: [Hradec Králové, hasVehicleRegistrationCode, HK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HK Context triple: [Hradec Králové, hasVehicleRegistrationCode, HK]
-
A.
Kowloon
Kowloon is a densely populated urban area of Hong Kong known for its vibrant street life, markets, and skyline facing Victoria Harbour.
-
B.
Hong Kong, China
Hong Kong, China is a major global financial and trading hub and a Special Administrative Region of China located on the southern coast of the country.
-
C.
Hakka
Hakka is a Sinitic language spoken primarily by the Hakka people across southern China and various overseas Chinese communities.
-
D.
Kwang-Chou-Wan
Kwang-Chou-Wan was a small leased territory in southern China that served as a French colonial enclave administered as part of French Indochina in the late 19th and early 20th centuries.
-
E.
Macau
Macau is a Special Administrative Region of China known for its blend of Portuguese and Chinese cultures and its major casino and tourism industry.
- 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: HK Triple: [Hradec Králové, hasVehicleRegistrationCode, HK]
Generated description
HK is the vehicle registration code used for the Czech city of Hradec Králové.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HK Target entity description: HK is the vehicle registration code used for the Czech city of Hradec Králové.
-
A.
Kowloon
Kowloon is a densely populated urban area of Hong Kong known for its vibrant street life, markets, and skyline facing Victoria Harbour.
-
B.
Hong Kong, China
Hong Kong, China is a major global financial and trading hub and a Special Administrative Region of China located on the southern coast of the country.
-
C.
Hakka
Hakka is a Sinitic language spoken primarily by the Hakka people across southern China and various overseas Chinese communities.
-
D.
Kwang-Chou-Wan
Kwang-Chou-Wan was a small leased territory in southern China that served as a French colonial enclave administered as part of French Indochina in the late 19th and early 20th centuries.
-
E.
Macau
Macau is a Special Administrative Region of China known for its blend of Portuguese and Chinese cultures and its major casino and tourism industry.
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4accda4148190aa628dab14d7f5de |
completed | March 1, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b85883c481909261bde7fdebcde1 |
completed | March 4, 2026, 4:43 a.m. |
| NEDg | Description generation | batch_69a7b95117e881908efe83c0f8b685fe |
completed | March 4, 2026, 4:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7b9a6edd48190a1feff7e887f76ba |
completed | March 4, 2026, 4:48 a.m. |
Created at: March 1, 2026, 7:39 p.m.