Triple
T15698129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leszczynki |
E380516
|
entity |
| Predicate | appliesLocalLaw |
P120344
|
FINISHED |
| Object | Gdynia municipal regulations |
—
|
LITERAL FINISHED |
How this triple was built (2 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: Gdynia municipal regulations | Statement: [Leszczynki, appliesLocalLaw, Gdynia municipal regulations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesLocalLaw Context triple: [Leszczynki, appliesLocalLaw, Gdynia municipal regulations]
-
A.
appliesLawThrough
Indicates that one entity enforces, implements, or carries out a law or legal rule by means of another entity or mechanism.
-
B.
stateLawAppliesFrom
Indicates that a particular state law becomes applicable starting from a specified point in time or under certain conditions.
-
C.
legalCodeAppliesTo
Indicates that a particular legal code or statute is applicable to, or governs, a specified subject, situation, or entity.
-
D.
localLawRepresentedBy
Indicates that a specific local law is formally represented, expressed, or captured by a particular legal document, code section, or representation.
-
E.
hasLocalOrdinances
Indicates that a governing body or jurisdiction has established and enacted specific local ordinances or regulations.
- F. None of above. chosen
Provenance (4 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0b4d01c9c81909f6b611e8144c838 |
completed | April 16, 2026, 10:07 a.m. |
Created at: April 10, 2026, 4:44 a.m.