Triple
T7344833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arab Accounting Dinar |
E169349
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
AAD
AAD is the currency abbreviation for the Arab Accounting Dinar, a unit of account used by the Arab Monetary Fund.
|
E658279
|
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: AAD | Statement: [Arab Accounting Dinar, hasAbbreviation, AAD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AAD Context triple: [Arab Accounting Dinar, hasAbbreviation, AAD]
-
A.
ADR
ADR is the ICAO airline designator assigned to the former Slovenian national carrier Adria Airways.
-
B.
ADR
ADR is a European treaty that sets harmonized rules and safety standards for the international transport of dangerous goods by road.
-
C.
ADR
ADR is the commonly used abbreviation for the Azerbaijan Democratic Republic, the first secular democratic republic in the Muslim world established in 1918.
-
D.
DA
DA is the commonly used abbreviation for the Defence Academy of the United Kingdom, the institution responsible for advanced education and training of the UK’s armed forces and defence personnel.
-
E.
DA
DA is a postcode area in southeast England covering parts of south-east London and northwest Kent, including towns such as Dartford and Sidcup.
- 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: AAD Triple: [Arab Accounting Dinar, hasAbbreviation, AAD]
Generated description
AAD is the currency abbreviation for the Arab Accounting Dinar, a unit of account used by the Arab Monetary Fund.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AAD Target entity description: AAD is the currency abbreviation for the Arab Accounting Dinar, a unit of account used by the Arab Monetary Fund.
-
A.
ADR
ADR is the ICAO airline designator assigned to the former Slovenian national carrier Adria Airways.
-
B.
ADR
ADR is a European treaty that sets harmonized rules and safety standards for the international transport of dangerous goods by road.
-
C.
ADR
ADR is the commonly used abbreviation for the Azerbaijan Democratic Republic, the first secular democratic republic in the Muslim world established in 1918.
-
D.
DA
DA is the commonly used abbreviation for the Defence Academy of the United Kingdom, the institution responsible for advanced education and training of the UK’s armed forces and defence personnel.
-
E.
DA
DA is a postcode area in southeast England covering parts of south-east London and northwest Kent, including towns such as Dartford and Sidcup.
- 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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0eeb30081909d25704ac9b49d0e |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa8de0888190b62101471048b8e1 |
completed | March 28, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69c7fbffbc7881909a5b4e877a735848 |
completed | March 28, 2026, 4:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fcb2605c819080697768d00c77d7 |
completed | March 28, 2026, 4:07 p.m. |
Created at: March 27, 2026, 3:05 p.m.