Triple
T8531425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anhalt-Bitterfeld |
E201958
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | ABI |
E504806
|
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: ABI | Statement: [Anhalt-Bitterfeld, vehicleRegistrationCode, ABI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ABI Context triple: [Anhalt-Bitterfeld, vehicleRegistrationCode, ABI]
-
A.
ABI
chosen
ABI is the vehicle registration code used on license plates for the German town of Bitterfeld-Wolfen.
-
B.
AIB
AIB is the Smithsonian Institution’s historic Arts and Industries Building in Washington, D.C., known as one of the oldest museum buildings on the National Mall.
-
C.
ABL
ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
-
D.
ABL
ABL is the IATA airport code assigned to Ambrolauri Airport in Georgia.
-
E.
ABL
ABL was a short-lived professional American basketball league that operated in the mid-1940s, preceding the formation of the NBA.
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe676e2ac8190b65a3d2a935776fd |
completed | March 31, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d68d14c81908bde8ca0113f9503 |
completed | April 2, 2026, 1:21 p.m. |
Created at: March 30, 2026, 6:17 p.m.