Triple
T8147865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erzgebirgskreis |
E190258
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
ASZ
ASZ is a German vehicle registration code formerly used for the town of Aue-Schwarzenberg in the Erzgebirgskreis district of Saxony.
|
E717338
|
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: ASZ | Statement: [Erzgebirgskreis, hasVehicleRegistrationCode, ASZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASZ Context triple: [Erzgebirgskreis, hasVehicleRegistrationCode, ASZ]
-
A.
ASDZ
ASDZ is the station code used to identify Amsterdam Zuid railway station in the Netherlands.
-
B.
ZAZ
ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
-
C.
AZU
AZU is the ICAO airline designator for Azul Brazilian Airlines, a major low-cost carrier based in Brazil.
-
D.
AS
AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
-
E.
AS
AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
- 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: ASZ Triple: [Erzgebirgskreis, hasVehicleRegistrationCode, ASZ]
Generated description
ASZ is a German vehicle registration code formerly used for the town of Aue-Schwarzenberg in the Erzgebirgskreis district of Saxony.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ASZ Target entity description: ASZ is a German vehicle registration code formerly used for the town of Aue-Schwarzenberg in the Erzgebirgskreis district of Saxony.
-
A.
ASDZ
ASDZ is the station code used to identify Amsterdam Zuid railway station in the Netherlands.
-
B.
ZAZ
ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
-
C.
AZU
AZU is the ICAO airline designator for Azul Brazilian Airlines, a major low-cost carrier based in Brazil.
-
D.
AS
AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
-
E.
AS
AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
- 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb447e74e081908df774edb2134209 |
completed | March 31, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbee697208190a1d9c98b2a4414bd |
completed | April 1, 2026, 6:44 a.m. |
| NEDg | Description generation | batch_69ccc30f1fc48190991e0caa9ea6e735 |
completed | April 1, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd8041c00819094094701ace21aa0 |
completed | April 1, 2026, 8:32 a.m. |
Created at: March 30, 2026, 5:36 p.m.