Triple
T10828550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argeș County |
E255555
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | AG |
E488024
|
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: AG | Statement: [Argeș County, vehicleRegistrationCode, AG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AG Context triple: [Argeș County, vehicleRegistrationCode, AG]
-
A.
AG
AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
-
B.
AG
AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
-
C.
AG
chosen
AG is the vehicle registration code used on license plates for cars registered in Argeș County, Romania.
-
D.
AG
AG is the common abbreviation for the Christian missions organization To the Nations.
-
E.
AG
AG is an Indonesian vehicle registration code used for motor vehicles registered in certain regions of East Java, including Trenggalek.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734d3eab88190b30a3025b6b2b0bc |
completed | April 9, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8592d8f08190ac577395ad7cc557 |
completed | April 14, 2026, 6:21 p.m. |
Created at: April 8, 2026, 9:19 p.m.