Triple
T12967483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klagenfurt |
E321299
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
K
K is the vehicle registration code used for the Austrian city of Klagenfurt.
|
E1012908
|
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: K | Statement: [Klagenfurt, vehicleRegistrationCode, K]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K Context triple: [Klagenfurt, vehicleRegistrationCode, K]
-
A.
K
K is the line designation used for Los Angeles Metro's K Line light rail service.
-
B.
K
K is the replicant blade runner protagonist of the science fiction film "Blade Runner 2049," whose investigation into a long-buried secret drives the movie’s central mystery and themes of identity.
-
C.
K
K is the route designation for San Francisco’s Muni Metro K Ingleside light rail line.
-
D.
K
K is the New York Stock Exchange ticker symbol for Kellogg Company, a major American multinational food manufacturing corporation best known for its breakfast cereals and snack products.
-
E.
K.
K. is the enigmatic land surveyor protagonist of Franz Kafka’s novel "The Castle," whose futile attempts to gain access to the mysterious authorities embody themes of alienation and bureaucratic absurdity.
- 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: K Triple: [Klagenfurt, vehicleRegistrationCode, K]
Generated description
K is the vehicle registration code used for the Austrian city of Klagenfurt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: K Target entity description: K is the vehicle registration code used for the Austrian city of Klagenfurt.
-
A.
K
K is the line designation used for Los Angeles Metro's K Line light rail service.
-
B.
K
K is the replicant blade runner protagonist of the science fiction film "Blade Runner 2049," whose investigation into a long-buried secret drives the movie’s central mystery and themes of identity.
-
C.
K
K is the route designation for San Francisco’s Muni Metro K Ingleside light rail line.
-
D.
K
K is the New York Stock Exchange ticker symbol for Kellogg Company, a major American multinational food manufacturing corporation best known for its breakfast cereals and snack products.
-
E.
K.
K. is the enigmatic land surveyor protagonist of Franz Kafka’s novel "The Castle," whose futile attempts to gain access to the mysterious authorities embody themes of alienation and bureaucratic absurdity.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e3f702481908f0f90f4f12d3f4d |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8e4e1a48190b8f7253717746295 |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6b9db8164819086a3a27692d681d5 |
completed | May 3, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb2602848190b9588134c71d0ef4 |
completed | May 3, 2026, 3:04 a.m. |
Created at: April 9, 2026, 8:31 p.m.