Triple
T5300605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King George’s Medical University |
E119967
|
entity |
| Predicate | offersProgram |
P178
|
FINISHED |
| Object | BDS |
E465286
|
NE FINISHED |
How this triple was built (2 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: BDS | Statement: [King George’s Medical University, offersProgram, BDS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BDS Context triple: [King George’s Medical University, offersProgram, BDS]
-
A.
BDS
chosen
BDS is a professional undergraduate degree in dentistry that qualifies graduates to practice as dentists.
-
B.
BdE
BdE is the commonly used abbreviation for the Bank of Spain, the country’s central bank responsible for monetary policy and financial supervision.
-
C.
BdM
BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
-
D.
BBD
BBD is the official currency code for the Barbadian dollar, the legal tender of Barbados.
-
E.
Nabulsi
Nabulsi refers to a person or thing originating from the city of Nablus in the West Bank, often associated with its distinctive cheese and traditional soap.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd446f22b88190b6a47fb91c68a3e7 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd850877688190a611d6293ca58d94 |
completed | March 20, 2026, 5:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10ec33ac819083d283e960a049af |
completed | March 21, 2026, 9:43 p.m. |
Created at: March 20, 2026, 1:53 p.m.