Triple
T10043363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coesfeld |
E205349
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
COE
COE is the vehicle registration code used on license plates for the Coesfeld district in the German state of North Rhine-Westphalia.
|
E837612
|
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: COE | Statement: [Coesfeld, vehicleRegistrationCode, COE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: COE Context triple: [Coesfeld, vehicleRegistrationCode, COE]
-
A.
COE
COE is the Spanish National Olympic Committee responsible for organizing Spain’s participation in the Olympic Games and promoting the Olympic movement within the country.
-
B.
CoE
CoE is the commonly used abbreviation for the Council of Europe, a pan-European intergovernmental organization focused on promoting human rights, democracy, and the rule of law.
-
C.
CoE
CoE is the commonly used abbreviation for the Centers of Excellence within the Technology Transformation Services (TTS) of the U.S. General Services Administration.
-
D.
BCOE
BCOE is the Marlan and Rosemary Bourns College of Engineering at the University of California, Riverside, known for its programs in engineering and applied sciences.
-
E.
WCOE
WCOE is the commonly used acronym for the Edward E. Whitacre Jr. College of Engineering at Texas Tech University.
- 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: COE Triple: [Coesfeld, vehicleRegistrationCode, COE]
Generated description
COE is the vehicle registration code used on license plates for the Coesfeld district in the German state of North Rhine-Westphalia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: COE Target entity description: COE is the vehicle registration code used on license plates for the Coesfeld district in the German state of North Rhine-Westphalia.
-
A.
COE
COE is the Spanish National Olympic Committee responsible for organizing Spain’s participation in the Olympic Games and promoting the Olympic movement within the country.
-
B.
CoE
CoE is the commonly used abbreviation for the Council of Europe, a pan-European intergovernmental organization focused on promoting human rights, democracy, and the rule of law.
-
C.
CoE
CoE is the commonly used abbreviation for the Centers of Excellence within the Technology Transformation Services (TTS) of the U.S. General Services Administration.
-
D.
BCOE
BCOE is the Marlan and Rosemary Bourns College of Engineering at the University of California, Riverside, known for its programs in engineering and applied sciences.
-
E.
WCOE
WCOE is the commonly used acronym for the Edward E. Whitacre Jr. College of Engineering at Texas Tech University.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf60a2208190846e57b5f5649307 |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d28278235c8190a5e833a9586bd3f5 |
completed | April 5, 2026, 3:40 p.m. |
| NEDg | Description generation | batch_69d28391f8fc8190964cdccaf5625617 |
completed | April 5, 2026, 3:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d284604dc88190b452ee847d3390dd |
completed | April 5, 2026, 3:48 p.m. |
Created at: March 30, 2026, 8:55 p.m.