Triple
T24146541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paweł Nowak |
E598402
|
entity |
| Predicate | hasSurnameFrequencyContext |
P122732
|
FINISHED |
| Object | Nowak is one of the most common surnames 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: Nowak is one of the most common surnames in Poland | Statement: [Paweł Nowak, hasSurnameFrequencyContext, Nowak is one of the most common surnames in Poland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurnameFrequencyContext Context triple: [Paweł Nowak, hasSurnameFrequencyContext, Nowak is one of the most common surnames in Poland]
-
A.
hasSurnameFrequency
chosen
Indicates that a surname occurs with a specified frequency or rate within a given population or dataset.
-
B.
hasGivenNameFrequency
Indicates the frequency or commonness with which a particular given name occurs within a specified population or context.
-
C.
hasSurnamePrefix
Indicates that one entity’s surname begins with, or is prefixed by, the string or component specified by the other entity.
-
D.
hasSurnamePattern
Indicates that an entity’s surname follows or matches a specified structural or stylistic pattern.
-
E.
hasSurnameType
Indicates that an entity’s surname belongs to a particular category or type (e.g., patronymic, toponymic, occupational).
- 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_69e288c9e488819093dd1acd91b08b8a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e00b00708190bcd1d0b855230378 |
completed | April 29, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:29 p.m.