Triple
T13950955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siemiatycze |
E335521
|
entity |
| Predicate | carPlatesCode |
P1173
|
FINISHED |
| Object |
BSI
BSI is the vehicle registration code used on license plates for cars registered in Siemiatycze, Poland.
|
E1071505
|
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: BSI | Statement: [Siemiatycze, carPlatesCode, BSI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BSI Context triple: [Siemiatycze, carPlatesCode, BSI]
-
A.
BSI
BSI is the Botanical Survey of India, the national organization responsible for surveying, researching, and documenting the plant resources of India.
-
B.
BSI Group
BSI Group is a global standards organization and certification body that develops and publishes widely used management system standards across industries.
-
C.
BSA
BSA (Birmingham Small Arms Company) was a major British manufacturer best known for producing firearms, military equipment, and later motorcycles and bicycles.
-
D.
BSA
BSA is the Board of Scientific Affairs of the American Psychological Association, which oversees and promotes psychological science within the organization.
-
E.
BSA
BSA is a U.S. anti-money laundering law that requires financial institutions to assist government agencies in detecting and preventing financial crimes.
- 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: BSI Triple: [Siemiatycze, carPlatesCode, BSI]
Generated description
BSI is the vehicle registration code used on license plates for cars registered in Siemiatycze, Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BSI Target entity description: BSI is the vehicle registration code used on license plates for cars registered in Siemiatycze, Poland.
-
A.
BSI
BSI is the Botanical Survey of India, the national organization responsible for surveying, researching, and documenting the plant resources of India.
-
B.
BSI Group
BSI Group is a global standards organization and certification body that develops and publishes widely used management system standards across industries.
-
C.
BSA
BSA (Birmingham Small Arms Company) was a major British manufacturer best known for producing firearms, military equipment, and later motorcycles and bicycles.
-
D.
BSA
BSA is a U.S. anti-money laundering law that requires financial institutions to assist government agencies in detecting and preventing financial crimes.
-
E.
BSA
BSA is the Board of Scientific Affairs of the American Psychological Association, which oversees and promotes psychological science within the organization.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e131c608190b4ffdbada24a3208 |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1cca84881909c7733bbc2609eea |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba6af4ed881908cb4b79cfa40977c |
completed | May 6, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba71a91fc8190b24185994673b33b |
completed | May 6, 2026, 8:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.