Triple
T38574734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gostynin |
E929368
|
entity |
| Predicate | registrationPlateCode |
P62402
|
FINISHED |
| Object |
EGS
EGS is a Polish vehicle registration code assigned to the town of Gostynin and its surrounding area.
|
E2276592
|
NE FINISHED |
How this triple was built (3 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: EGS | Statement: [Gostynin, registrationPlateCode, EGS]
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: EGS Triple: [Gostynin, registrationPlateCode, EGS]
Generated description
EGS is a Polish vehicle registration code assigned to the town of Gostynin and its surrounding area.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: registrationPlateCode Context triple: [Gostynin, registrationPlateCode, EGS]
-
A.
vehicleRegistrationCode
Indicates the official registration identifier assigned to a vehicle, typically used for legal identification and record-keeping.
-
B.
registrationPlateFormat
Indicates the specific pattern or structure that a vehicle’s registration plate must follow (such as the arrangement of letters, numbers, and symbols).
-
C.
usesCodeOnPlates
chosen
Indicates that an entity applies or employs a specific code or coding system on plates.
-
D.
licensePlateReference
Indicates a reference or link from one entity to a specific vehicle license plate identifier.
-
E.
licensePlateOrigin
Indicates that a vehicle’s license plate was issued or originates from a particular jurisdiction or region.
- F. None of above.
Provenance (6 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_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41ea92cb84819083e10a165f41509d |
completed | June 29, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_6a41eb4f26e481908d2c85e0d36444e2 |
completed | June 29, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41ebd65c688190bbc848f604bd9e3c |
completed | June 29, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.