Triple
T12979896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Academy of Dermatology |
E321626
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | AAD |
E658279
|
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: AAD | Statement: [American Academy of Dermatology, abbreviation, AAD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AAD Context triple: [American Academy of Dermatology, abbreviation, AAD]
-
A.
AAD
chosen
AAD is the currency abbreviation for the Arab Accounting Dinar, a unit of account used by the Arab Monetary Fund.
-
B.
ADE
ADE is Apple's Automated Device Enrollment program that streamlines the setup and management of Apple devices in organizations through centralized, zero‑touch deployment.
-
C.
ADR
ADR is the ICAO airline designator assigned to the former Slovenian national carrier Adria Airways.
-
D.
ADR
ADR is a European treaty that sets harmonized rules and safety standards for the international transport of dangerous goods by road.
-
E.
ADR
ADR is the commonly used abbreviation for the Azerbaijan Democratic Republic, the first secular democratic republic in the Muslim world established in 1918.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e5b993481908f94fe096ade441b |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8f200c88190a2aab15373cbedf5 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:39 p.m.