Triple
T18311269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odenwaldkreis |
E438629
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
ERB
ERB is the vehicle registration code used on license plates for vehicles registered in the Odenwaldkreis district of Germany.
|
E1317618
|
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: ERB | Statement: [Odenwaldkreis, vehicleRegistrationCode, ERB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ERB Context triple: [Odenwaldkreis, vehicleRegistrationCode, ERB]
-
A.
ERB
ERB (Embedded Ruby) is a templating system in Ruby that allows you to embed Ruby code within text documents, most commonly used for generating dynamic HTML in web applications.
-
B.
ERBS
ERBS (Earth Radiation Budget Satellite) was a NASA spacecraft launched in 1984 to study how energy from the Sun is absorbed, emitted, and redistributed in Earth's atmosphere and climate system.
-
C.
ERL
ERL is the National Rail station code for Earlestown railway station in Merseyside, England.
-
D.
ERL
ERL is a research facility focused on studying and developing technologies for the exploration, monitoring, and management of Earth's natural resources.
-
E.
ERL
ERL is a contemporary fashion label known for its colorful, nostalgic, and surf-skate-inspired designs created by American designer Eli Russell Linnetz.
- 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: ERB Triple: [Odenwaldkreis, vehicleRegistrationCode, ERB]
Generated description
ERB is the vehicle registration code used on license plates for vehicles registered in the Odenwaldkreis district of Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ERB Target entity description: ERB is the vehicle registration code used on license plates for vehicles registered in the Odenwaldkreis district of Germany.
-
A.
ERB
ERB (Embedded Ruby) is a templating system in Ruby that allows you to embed Ruby code within text documents, most commonly used for generating dynamic HTML in web applications.
-
B.
ERBS
ERBS (Earth Radiation Budget Satellite) was a NASA spacecraft launched in 1984 to study how energy from the Sun is absorbed, emitted, and redistributed in Earth's atmosphere and climate system.
-
C.
ERL
ERL is the National Rail station code for Earlestown railway station in Merseyside, England.
-
D.
ERL
ERL is a research facility focused on studying and developing technologies for the exploration, monitoring, and management of Earth's natural resources.
-
E.
ERL
ERL is a contemporary fashion label known for its colorful, nostalgic, and surf-skate-inspired designs created by American designer Eli Russell Linnetz.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50219cd548190b8da5f402d5da773 |
completed | April 19, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb6640e88190bed9e233fc14ecec |
completed | May 12, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a03bcc98f6081908d85c0f08cea8f5d |
completed | May 12, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c062f9088190aef638dfc212d283 |
completed | May 13, 2026, 12:05 a.m. |
Created at: April 10, 2026, 10:36 a.m.