Triple
T8147869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erzgebirgskreis |
E190258
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
STL
STL is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
|
E717341
|
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: STL | Statement: [Erzgebirgskreis, hasVehicleRegistrationCode, STL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STL Context triple: [Erzgebirgskreis, hasVehicleRegistrationCode, STL]
-
A.
STL
STL is a common abbreviation and nickname for the city of St. Louis, Missouri.
-
B.
STLAM
STLAM is the stock ticker symbol for Stellantis, a multinational automotive manufacturer formed from the merger of Fiat Chrysler Automobiles and PSA Group.
-
C.
Effective STL
Effective STL is a programming book by Scott Meyers that provides practical guidelines and best practices for using the C++ Standard Template Library effectively and efficiently.
-
D.
C++
C++ is a high-performance, general-purpose programming language widely used for system/software development, game engines, and performance-critical applications.
-
E.
C++ standard library
The C++ standard library is a collection of ready-made classes and functions that provide core utilities such as containers, algorithms, input/output, and threading support for C++ programs.
- 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: STL Triple: [Erzgebirgskreis, hasVehicleRegistrationCode, STL]
Generated description
STL is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: STL Target entity description: STL is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
-
A.
STL
STL is a common abbreviation and nickname for the city of St. Louis, Missouri.
-
B.
STLAM
STLAM is the stock ticker symbol for Stellantis, a multinational automotive manufacturer formed from the merger of Fiat Chrysler Automobiles and PSA Group.
-
C.
Effective STL
Effective STL is a programming book by Scott Meyers that provides practical guidelines and best practices for using the C++ Standard Template Library effectively and efficiently.
-
D.
C++
C++ is a high-performance, general-purpose programming language widely used for system/software development, game engines, and performance-critical applications.
-
E.
C++ standard library
The C++ standard library is a collection of ready-made classes and functions that provide core utilities such as containers, algorithms, input/output, and threading support for C++ programs.
- 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.