Triple
T1111238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buckinghamshire |
E10606
|
entity |
| Predicate | vehicleRegistrationPrefixHistoric |
P7142
|
FINISHED |
| Object |
BU
BU is a historic vehicle registration prefix that was once used to identify motor vehicles registered in Buckinghamshire, England.
|
E128007
|
NE FINISHED |
How this triple was built (5 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: BU | Statement: [Buckinghamshire, vehicleRegistrationPrefixHistoric, BU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BU Context triple: [Buckinghamshire, vehicleRegistrationPrefixHistoric, BU]
-
A.
BU
BU is a major private research university in Boston, Massachusetts, known for its diverse academic programs and global student body.
-
B.
BAL
BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
-
C.
BO
BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
-
D.
BR
BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
-
E.
BR
BR is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Brazil in international standards and systems.
- 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: BU Triple: [Buckinghamshire, vehicleRegistrationPrefixHistoric, BU]
Generated description
BU is a historic vehicle registration prefix that was once used to identify motor vehicles registered in Buckinghamshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BU Target entity description: BU is a historic vehicle registration prefix that was once used to identify motor vehicles registered in Buckinghamshire, England.
-
A.
BU
BU is a major private research university in Boston, Massachusetts, known for its diverse academic programs and global student body.
-
B.
BAL
BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
-
C.
BO
BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
-
D.
BR
BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
-
E.
BR
BR is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Brazil in international standards and systems.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleRegistrationPrefixHistoric Context triple: [Buckinghamshire, vehicleRegistrationPrefixHistoric, BU]
-
A.
vehicleRegistrationCode
Indicates the official registration identifier assigned to a vehicle, typically used for legal identification and record-keeping.
-
B.
aircraftDesignationPrefix
Indicates the standardized prefix used in an aircraft’s designation that conveys its type, role, or function.
-
C.
registrationPrefix
chosen
Indicates that an entity has a specific registration prefix code assigned to it as part of its official registration or identification.
-
D.
historicallyRecognizedAs
Indicates that an entity has been acknowledged or designated under a particular name, status, or role during a past historical period.
-
E.
historicallyBorneBy
Indicates that an entity has carried, possessed, or used another entity (such as a name, title, or symbol) at some point in the past.
- F. None of above.
Provenance (6 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bbd92a8c8190a16e55f3f739010f |
completed | March 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac53935d108190955343cd1d3716b0 |
completed | March 7, 2026, 4:34 p.m. |
| NEDg | Description generation | batch_69ac5436b8688190b9d13a6920a218f6 |
completed | March 7, 2026, 4:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac548b363881908de3588d34c4960c |
completed | March 7, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69a4bb42990c819080db96478fd4977e |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.