Triple
T16558308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Słomniki |
E402266
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
KRA
KRA is the vehicle registration code assigned to cars registered in the Kraków region of Poland, including the town of Słomniki.
|
E1219354
|
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: KRA | Statement: [Słomniki, vehicleRegistrationCode, KRA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KRA Context triple: [Słomniki, vehicleRegistrationCode, KRA]
-
A.
KRA
KRA is Kenya’s national tax collection and revenue administration agency responsible for assessing, collecting, and accounting for government revenue.
-
B.
KRCA
KRCA is a Los Angeles-area television station that currently operates as a Spanish-language independent outlet serving Southern California viewers.
-
C.
KRU
KRU is a German vehicle registration code assigned to the district of Günzburg in the state of Bavaria.
-
D.
Kra 1
Kra 1 is the designated type strain of the hyperthermophilic archaeon Thermoproteus tenax, used as the reference for defining the species’ characteristics.
-
E.
RKA
RKA is the Russian Space Agency that managed Russia’s human spaceflight activities, including operations of the Mir space station.
- 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: KRA Triple: [Słomniki, vehicleRegistrationCode, KRA]
Generated description
KRA is the vehicle registration code assigned to cars registered in the Kraków region of Poland, including the town of Słomniki.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KRA Target entity description: KRA is the vehicle registration code assigned to cars registered in the Kraków region of Poland, including the town of Słomniki.
-
A.
KRA
KRA is Kenya’s national tax collection and revenue administration agency responsible for assessing, collecting, and accounting for government revenue.
-
B.
KRCA
KRCA is a Los Angeles-area television station that currently operates as a Spanish-language independent outlet serving Southern California viewers.
-
C.
KRU
KRU is a German vehicle registration code assigned to the district of Günzburg in the state of Bavaria.
-
D.
Kra 1
Kra 1 is the designated type strain of the hyperthermophilic archaeon Thermoproteus tenax, used as the reference for defining the species’ characteristics.
-
E.
RKA
RKA is the Russian Space Agency that managed Russia’s human spaceflight activities, including operations of the Mir space station.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576bce0c819087ab36f7dec5c394 |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067bcb698819092ede6ba4f8a4a2b |
completed | May 10, 2026, 11:10 a.m. |
| NEDg | Description generation | batch_6a0068521c0c819093ddd51aa6f25995 |
completed | May 10, 2026, 11:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0068ab40d08190b8998c8f97bd34a5 |
completed | May 10, 2026, 11:14 a.m. |
Created at: April 10, 2026, 5:15 a.m.