Triple
T14926916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sächsische Schweiz-Osterzgebirge |
E372156
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | SEB |
E681812
|
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: SEB | Statement: [Sächsische Schweiz-Osterzgebirge, vehicleRegistrationCode, SEB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SEB Context triple: [Sächsische Schweiz-Osterzgebirge, vehicleRegistrationCode, SEB]
-
A.
SEB
SEB is the IATA airport code for Sabha Airport, which serves the city of Sabha in southwestern Libya.
-
B.
SEB
chosen
SEB is a major Swedish financial group and bank, historically linked to the influential Wallenberg family and known for its corporate and investment banking services in Northern Europe.
-
C.
SEBL
SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
-
D.
Blomberg
Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
-
E.
Meco
Meco is a municipality in central Spain’s Community of Madrid, known for its location in the Henares Corridor near Alcalá de Henares.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded633da0c8190b39f606212e48e71 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c4f9c481909642efccb29f71d4 |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:35 a.m.