Triple
T10988086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Kissingen (district) |
E259682
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
KG
KG is the vehicle registration code used on license plates for the Bad Kissingen district in Bavaria, Germany.
|
E898319
|
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: KG | Statement: [Bad Kissingen (district), vehicleRegistrationCode, KG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KG Context triple: [Bad Kissingen (district), vehicleRegistrationCode, KG]
-
A.
KG
KG is the post-nominal abbreviation used by Knights of the Order of the Garter, the highest order of chivalry in the United Kingdom.
-
B.
KG
KG is the widely used nickname of Kevin Garnett, a Hall of Fame NBA forward known for his intensity, defensive prowess, and versatility.
-
C.
KGKT
KGKT is the ICAO airport code for Gatlinburg–Pigeon Forge Airport, a public airport serving the Gatlinburg and Pigeon Forge area in Tennessee, USA.
-
D.
KGX
KGX is the National Rail station code for London King's Cross, a major central London railway terminus and transport hub.
-
E.
KGH
KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
- 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: KG Triple: [Bad Kissingen (district), vehicleRegistrationCode, KG]
Generated description
KG is the vehicle registration code used on license plates for the Bad Kissingen district in Bavaria, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KG Target entity description: KG is the vehicle registration code used on license plates for the Bad Kissingen district in Bavaria, Germany.
-
A.
KG
KG is the post-nominal abbreviation used by Knights of the Order of the Garter, the highest order of chivalry in the United Kingdom.
-
B.
KG
KG is the widely used nickname of Kevin Garnett, a Hall of Fame NBA forward known for his intensity, defensive prowess, and versatility.
-
C.
KGKT
KGKT is the ICAO airport code for Gatlinburg–Pigeon Forge Airport, a public airport serving the Gatlinburg and Pigeon Forge area in Tennessee, USA.
-
D.
KGX
KGX is the National Rail station code for London King's Cross, a major central London railway terminus and transport hub.
-
E.
KGH
KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b574d08190adec34b814a26437 |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344f95ab88190bbce8f0eab0b2713 |
completed | April 18, 2026, 8:46 a.m. |
| NEDg | Description generation | batch_69e3556e8b408190a02a1fe194ae5750 |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3591ecd548190b049ce95fe3f86d9 |
completed | April 18, 2026, 10:12 a.m. |
Created at: April 8, 2026, 9:24 p.m.