Triple
T9010348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landkreis Günzburg |
E215451
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
KRU
KRU is a German vehicle registration code assigned to the district of Günzburg in the state of Bavaria.
|
E772663
|
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: KRU | Statement: [Landkreis Günzburg, hasVehicleRegistrationCode, KRU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KRU Context triple: [Landkreis Günzburg, hasVehicleRegistrationCode, KRU]
-
A.
Kru
Kru is an actor known for appearing in the film "Chang: A Drama of the Wilderness."
-
B.
Krut
Krut is the Thai name for Garuda, the mythical bird-like creature that serves as a powerful divine mount and national emblem in various Southeast Asian cultures.
-
C.
RKR
RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
-
D.
Kruklanki
Kruklanki is a village in northern Poland known for its scenic lakes and forests within the Warmian-Masurian region.
-
E.
KRAL
KRAL is the ICAO airport code for Riverside Municipal Airport in Riverside, California, United States.
- 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: KRU Triple: [Landkreis Günzburg, hasVehicleRegistrationCode, KRU]
Generated description
KRU is a German vehicle registration code assigned to the district of Günzburg in the state of Bavaria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KRU Target entity description: KRU is a German vehicle registration code assigned to the district of Günzburg in the state of Bavaria.
-
A.
Kru
Kru is an actor known for appearing in the film "Chang: A Drama of the Wilderness."
-
B.
Krut
Krut is the Thai name for Garuda, the mythical bird-like creature that serves as a powerful divine mount and national emblem in various Southeast Asian cultures.
-
C.
RKR
RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
-
D.
Kruklanki
Kruklanki is a village in northern Poland known for its scenic lakes and forests within the Warmian-Masurian region.
-
E.
KRAL
KRAL is the ICAO airport code for Riverside Municipal Airport in Riverside, California, United States.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69c1571881908d0b144786b5ee1f |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb9dca848190952427bb5712081f |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdc5b230881908057cc868e44ea44 |
completed | April 3, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfdcfc28288190b849b3f0216a7e9a |
completed | April 3, 2026, 3:30 p.m. |
Created at: March 30, 2026, 7:06 p.m.