Triple
T9819800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julian Grobelny |
E238499
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Żegota |
E42887
|
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: Żegota | Statement: [Julian Grobelny, memberOf, Żegota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Żegota Context triple: [Julian Grobelny, memberOf, Żegota]
-
A.
Żegota
chosen
Żegota was a clandestine Polish World War II organization dedicated to rescuing and aiding Jews under Nazi occupation.
-
B.
Zułów
Zułów is a village in present-day Lithuania best known as the birthplace of Polish statesman and military leader Józef Piłsudski.
-
C.
Dar Pomorza
Dar Pomorza is a historic Polish sailing frigate, now preserved as a museum ship and popular tourist attraction in Gdynia.
-
D.
Zarzecze
Zarzecze is a village in southeastern Poland historically associated with Polish statesman Aleksander Skrzyński, who maintained a residence there.
-
E.
Czeladź
Czeladź is a historic industrial town in southern Poland, located in the Silesian metropolitan area near Katowice.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f74e348190be8e4394ae6fe3fe |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc74de14819083299a549f04b2b1 |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:31 p.m.