Triple
T10798867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grzegorz |
E254784
|
entity |
| Predicate | hasDiminutiveForm |
P456
|
FINISHED |
| Object | Grzesio |
E254784
|
NE 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: Grzesio | Statement: [Grzegorz, hasDiminutiveForm, Grzesio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grzesio Context triple: [Grzegorz, hasDiminutiveForm, Grzesio]
-
A.
Grzegorz
chosen
Grzegorz is the Polish form of the given name Gregory, commonly used in Poland and among Polish-speaking communities.
-
B.
Grześ
Grześ is a popular Tatra mountain peak in Poland, often visited as a scenic hiking destination offering views over the Chochołowska Valley and surrounding ranges.
-
C.
Zbyszek
Zbyszek is a common Polish diminutive form of the male given name Zbigniew.
-
D.
Leszek
Leszek is a masculine Slavic given name historically borne by several Polish rulers and nobles.
-
E.
Sławek
Sławek is a Polish surname most notably borne by Walery Sławek, a prominent early 20th-century Polish politician and close associate of Józef Piłsudski.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73334feb08190aae967eaa37659f7 |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7b050ec8190b75877d5724c2aec |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:17 p.m.