Triple
T13182787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bulgarian Academy of Sciences |
E313770
|
entity |
| Predicate | nativeShortName |
P657
|
FINISHED |
| Object |
БАН
БАН is the Bulgarian abbreviation for the Bulgarian Academy of Sciences, the leading national institution for scientific research in Bulgaria.
|
E1026741
|
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: БАН | Statement: [Bulgarian Academy of Sciences, nativeShortName, БАН]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: БАН Context triple: [Bulgarian Academy of Sciences, nativeShortName, БАН]
-
A.
Bankan Tey
Bankan Tey is a Dogon language variety spoken by the Dogon people of Mali in West Africa.
-
B.
BNK
BNK is the IATA airport code for Ballina Byron Gateway Airport, a regional airport serving the Ballina and Byron Bay areas in New South Wales, Australia.
-
C.
BAN
BAN is the National Rail station code for Banbury railway station in Oxfordshire, England.
-
D.
BNM
BNM is the central bank of Malaysia, responsible for issuing currency, formulating monetary policy, and overseeing the country’s financial system.
-
E.
Bankal
Bankal is a Jarawan Bantu language spoken by a small ethnic community in Nigeria.
- 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: БАН Triple: [Bulgarian Academy of Sciences, nativeShortName, БАН]
Generated description
БАН is the Bulgarian abbreviation for the Bulgarian Academy of Sciences, the leading national institution for scientific research in Bulgaria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: БАН Target entity description: БАН is the Bulgarian abbreviation for the Bulgarian Academy of Sciences, the leading national institution for scientific research in Bulgaria.
-
A.
Bankan Tey
Bankan Tey is a Dogon language variety spoken by the Dogon people of Mali in West Africa.
-
B.
BNK
BNK is the IATA airport code for Ballina Byron Gateway Airport, a regional airport serving the Ballina and Byron Bay areas in New South Wales, Australia.
-
C.
BAN
BAN is the National Rail station code for Banbury railway station in Oxfordshire, England.
-
D.
BNM
BNM is the central bank of Malaysia, responsible for issuing currency, formulating monetary policy, and overseeing the country’s financial system.
-
E.
Bankal
Bankal is a Jarawan Bantu language spoken by a small ethnic community in Nigeria.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c4a0b0081908027bf77442ff5ff |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5f307408190afd0df16a417c456 |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f707d9e48190b772520ca9f4ac2c |
completed | May 3, 2026, 7:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f8530a048190b448c50bfa52c057 |
completed | May 3, 2026, 7:25 a.m. |
Created at: April 9, 2026, 9:15 p.m.