Triple
T14019612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Unna |
E337292
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
LÜN
LÜN is the vehicle registration code for the German town of Lünen in the district of Unna, North Rhine-Westphalia.
|
E1076347
|
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: LÜN | Statement: [district of Unna, hasVehicleRegistrationCode, LÜN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LÜN Context triple: [district of Unna, hasVehicleRegistrationCode, LÜN]
-
A.
Luenell
Luenell is an American comedian and actress best known for her bold, irreverent stand-up and memorable supporting roles in film and television.
-
B.
Lunan
Lunan is a small coastal settlement in Angus, Scotland, known for its proximity to the scenic Lunan Bay beach.
-
C.
LUN
LUN is the IATA airport code for Kenneth Kaunda International Airport, the main international gateway serving Lusaka, the capital city of Zambia.
-
D.
Lugn
Lugn is the surname of Swedish poet, playwright, and member of the Swedish Academy Kristina Lugn.
-
E.
Lunice
Lunice is a Canadian electronic music producer and DJ known for his innovative trap-influenced beats and as one half of the duo TNGHT.
- 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: LÜN Triple: [district of Unna, hasVehicleRegistrationCode, LÜN]
Generated description
LÜN is the vehicle registration code for the German town of Lünen in the district of Unna, North Rhine-Westphalia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LÜN Target entity description: LÜN is the vehicle registration code for the German town of Lünen in the district of Unna, North Rhine-Westphalia.
-
A.
Luenell
Luenell is an American comedian and actress best known for her bold, irreverent stand-up and memorable supporting roles in film and television.
-
B.
Lunan
Lunan is a small coastal settlement in Angus, Scotland, known for its proximity to the scenic Lunan Bay beach.
-
C.
LUN
LUN is the IATA airport code for Kenneth Kaunda International Airport, the main international gateway serving Lusaka, the capital city of Zambia.
-
D.
Lugn
Lugn is the surname of Swedish poet, playwright, and member of the Swedish Academy Kristina Lugn.
-
E.
Lunice
Lunice is a Canadian electronic music producer and DJ known for his innovative trap-influenced beats and as one half of the duo TNGHT.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3c7cd88190b236382058581740 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32d77108190b038e8a750738439 |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fc43e28e288190827925f45b942959 |
completed | May 7, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fc444630408190b368611373265973 |
completed | May 7, 2026, 7:50 a.m. |
Created at: April 9, 2026, 10:19 p.m.