Triple
T4953390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regierungsbezirk Stuttgart |
E111220
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
SHA
SHA is the vehicle registration code for the German district of Schwäbisch Hall in the state of Baden-Württemberg.
|
E483345
|
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: SHA | Statement: [Regierungsbezirk Stuttgart, hasVehicleRegistrationCode, SHA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SHA Context triple: [Regierungsbezirk Stuttgart, hasVehicleRegistrationCode, SHA]
-
A.
SHA
SHA is the IATA airport code for Shanghai Hongqiao International Airport, a major domestic and regional aviation hub serving Shanghai, China.
-
B.
SHA
SHA is the commonly used abbreviation for the School of Hospitality Administration, an academic institution focused on hospitality and related fields.
-
C.
SHA-2
SHA-2 is a family of cryptographic hash functions widely used for data integrity, digital signatures, and security protocols on the internet.
-
D.
SHA-1
SHA-1 is a now-legacy 160-bit cryptographic hash function once widely used for data integrity and digital signatures but today considered insecure due to practical collision attacks.
-
E.
SHA-256
SHA-256 is a widely used cryptographic hash function from the SHA-2 family that produces a 256-bit hash value for securing data integrity and authentication.
- 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: SHA Triple: [Regierungsbezirk Stuttgart, hasVehicleRegistrationCode, SHA]
Generated description
SHA is the vehicle registration code for the German district of Schwäbisch Hall in the state of Baden-Württemberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SHA Target entity description: SHA is the vehicle registration code for the German district of Schwäbisch Hall in the state of Baden-Württemberg.
-
A.
SHA
SHA is the IATA airport code for Shanghai Hongqiao International Airport, a major domestic and regional aviation hub serving Shanghai, China.
-
B.
SHA
SHA is the commonly used abbreviation for the School of Hospitality Administration, an academic institution focused on hospitality and related fields.
-
C.
SHA-2
SHA-2 is a family of cryptographic hash functions widely used for data integrity, digital signatures, and security protocols on the internet.
-
D.
SHA-1
SHA-1 is a now-legacy 160-bit cryptographic hash function once widely used for data integrity and digital signatures but today considered insecure due to practical collision attacks.
-
E.
SHA-256
SHA-256 is a widely used cryptographic hash function from the SHA-2 family that produces a 256-bit hash value for securing data integrity and authentication.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71b82dd88190adfb08c3b3191fe0 |
completed | March 20, 2026, 4:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81d773bc8190861be7ad83de6c2a |
completed | March 21, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69be82dcc280819098eac824370b1af0 |
completed | March 21, 2026, 11:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8349507481908643591de7f03f42 |
completed | March 21, 2026, 11:38 a.m. |
Created at: March 20, 2026, 1:31 p.m.