Triple
T33784978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monitor Polski |
E865760
|
entity |
| Predicate | typeOfLawJournal |
P17077
|
FINISHED |
| Object | journal of non-legislative acts |
—
|
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: journal of non-legislative acts | Statement: [Monitor Polski, typeOfLawJournal, journal of non-legislative acts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLawJournal Context triple: [Monitor Polski, typeOfLawJournal, journal of non-legislative acts]
-
A.
lawJournal
chosen
Indicates a relationship where a work is published in, associated with, or appears within a specific law journal.
-
B.
lawReview
Indicates a relationship where an entity is associated with a law review, typically as its subject, source, or venue of publication within legal scholarship.
-
C.
typeOfLaw
Indicates that one entity is a specific category or kind of law to which the other entity pertains.
-
D.
lawReviewChamber
Indicates a relationship where a law review is associated with, produced by, or belongs to a particular judicial or legislative chamber.
-
E.
typeOfLawCollection
Indicates that a given collection is categorized as a specific type of law collection (e.g., by legal domain, jurisdiction, or purpose).
- 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_6a00ccadb6908190ab810a7c05315fa8 |
completed | May 10, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_6a00cc0f86b88190a0d2c43618558f86 |
completed | May 10, 2026, 6:18 p.m. |
Created at: May 1, 2026, 1:45 a.m.