Triple
T33785030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dz.U. |
E865761
|
entity |
| Predicate | usedInCitation |
P190930
|
FINISHED |
| Object | legal citations in Poland |
—
|
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: legal citations in Poland | Statement: [Dz.U., usedInCitation, legal citations in Poland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInCitation Context triple: [Dz.U., usedInCitation, legal citations in Poland]
-
A.
isUsedInCitationOf
chosen
Indicates that one entity is employed or referenced within the citation of another entity.
-
B.
usesCitation
Indicates that one entity supports or references its content by citing another entity as a source.
-
C.
usedInLegalCitation
Indicates that one entity is referenced or relied upon as an authoritative source within a legal citation to support legal arguments or decisions.
-
D.
usedInBibliographies
Indicates that something is cited or listed as a reference within bibliographies.
-
E.
usedAsAuthorCitationFor
Indicates that one entity is cited or referenced as the author in the bibliographic citation of another entity.
- F. None of above.
Provenance (3 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_69f3498ecc2c8190bcd85e3f11dc215e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe78e545888190a239af1a84280fa0 |
completed | May 8, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69fe7842742081908043eb950ed69f92 |
completed | May 8, 2026, 11:56 p.m. |
Created at: May 1, 2026, 1:45 a.m.