Triple
T4327444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UK Border Agency |
E96665
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
UKBA
UKBA is the acronym for the former UK Border Agency, the government body that was responsible for border control and immigration enforcement in the United Kingdom.
|
E431076
|
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: UKBA | Statement: [UK Border Agency, abbreviation, UKBA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UKBA Context triple: [UK Border Agency, abbreviation, UKBA]
-
A.
UKB
UKB is the IATA airport code for Kobe Airport, a regional airport serving the city of Kobe in Japan.
-
B.
UKSC
UKSC is the commonly used abbreviation for the Supreme Court of the United Kingdom, the highest appellate court in the UK for civil cases and most criminal cases.
-
C.
UKSC
UKSC is the abbreviation for UK Space Command, the United Kingdom’s military organization responsible for space operations and defense.
-
D.
UKSPF
UKSPF is a UK government funding programme designed to reduce regional inequalities and support local economic growth, skills, and community development across the country.
-
E.
EBSA
EBSA is a U.S. Department of Labor agency responsible for enforcing federal laws that regulate private-sector employee benefit plans, including retirement and health plans.
- 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: UKBA Triple: [UK Border Agency, abbreviation, UKBA]
Generated description
UKBA is the acronym for the former UK Border Agency, the government body that was responsible for border control and immigration enforcement in the United Kingdom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UKBA Target entity description: UKBA is the acronym for the former UK Border Agency, the government body that was responsible for border control and immigration enforcement in the United Kingdom.
-
A.
UKB
UKB is the IATA airport code for Kobe Airport, a regional airport serving the city of Kobe in Japan.
-
B.
UKSC
UKSC is the commonly used abbreviation for the Supreme Court of the United Kingdom, the highest appellate court in the UK for civil cases and most criminal cases.
-
C.
UKSC
UKSC is the abbreviation for UK Space Command, the United Kingdom’s military organization responsible for space operations and defense.
-
D.
UKSPF
UKSPF is a UK government funding programme designed to reduce regional inequalities and support local economic growth, skills, and community development across the country.
-
E.
EBSA
EBSA is a U.S. Department of Labor agency responsible for enforcing federal laws that regulate private-sector employee benefit plans, including retirement and health plans.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35131f11881909e2d5415a70d5785 |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d09861a4819086a88bb42a8ea2e4 |
completed | March 14, 2026, 9:18 p.m. |
| NEDg | Description generation | batch_69b5d11a30a08190b9f58fadd2415559 |
completed | March 14, 2026, 9:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5d194975481908b029ab106223c6c |
completed | March 14, 2026, 9:22 p.m. |
Created at: March 12, 2026, 11:13 p.m.