Triple
T15864494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zwickau district |
E384673
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
HOT
HOT is the vehicle registration code used on license plates for vehicles registered in the Zwickau district of Germany.
|
E1182050
|
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: HOT | Statement: [Zwickau district, vehicleRegistrationCode, HOT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HOT Context triple: [Zwickau district, vehicleRegistrationCode, HOT]
-
A.
HOT
HOT is the three-letter National Rail station code assigned to Henley-on-Thames railway station in Oxfordshire, England.
-
B.
HOT
HOT is the stock ticker symbol for Hochtief, a major German construction and infrastructure company.
-
C.
Hot
"Hot" is a popular trap song by American rapper Young Thug, known for its brass-heavy production and memorable hook.
-
D.
Hot Thing
"Hot Thing" is a funk-infused track by Prince from his acclaimed 1987 double album *Sign o’ the Times*, noted for its sensual lyrics and dance-driven groove.
-
E.
Hot Wuk
"Hot Wuk" is a popular dancehall track by Jamaican artist Mr. Vegas known for its energetic rhythm and party anthem status.
- 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: HOT Triple: [Zwickau district, vehicleRegistrationCode, HOT]
Generated description
HOT is the vehicle registration code used on license plates for vehicles registered in the Zwickau district of Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HOT Target entity description: HOT is the vehicle registration code used on license plates for vehicles registered in the Zwickau district of Germany.
-
A.
HOT
HOT is the three-letter National Rail station code assigned to Henley-on-Thames railway station in Oxfordshire, England.
-
B.
HOT
HOT is the stock ticker symbol for Hochtief, a major German construction and infrastructure company.
-
C.
Hot
"Hot" is a popular trap song by American rapper Young Thug, known for its brass-heavy production and memorable hook.
-
D.
Hot Thing
"Hot Thing" is a funk-infused track by Prince from his acclaimed 1987 double album *Sign o’ the Times*, noted for its sensual lyrics and dance-driven groove.
-
E.
Hot Wuk
"Hot Wuk" is a popular dancehall track by Jamaican artist Mr. Vegas known for its energetic rhythm and party anthem status.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555e4ee48190a3b27b4ab9bdb1c8 |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa945d9808190a65f5182db341393 |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffaa8b03048190a3745df8a59fe066 |
completed | May 9, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffab58e7e481908a13b739e0401b8b |
completed | May 9, 2026, 9:47 p.m. |
Created at: April 10, 2026, 4:50 a.m.