Triple
T7000671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazurek Dąbrowskiego |
E162328
|
entity |
| Predicate | mentions |
P831
|
FINISHED |
| Object | Czarniecki |
E175220
|
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: Czarniecki | Statement: [Mazurek Dąbrowskiego, mentions, Czarniecki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Czarniecki Context triple: [Mazurek Dąbrowskiego, mentions, Czarniecki]
-
A.
Czarniecki
chosen
Czarniecki refers to Stefan Czarniecki, a 17th-century Polish military commander and national hero celebrated for his role in defending the Polish–Lithuanian Commonwealth, notably during the Swedish Deluge.
-
B.
Korzeniowski
Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
-
C.
Zawisza
Zawisza is a Polish surname historically associated with several notable figures, including nobles, politicians, and cultural personalities.
-
D.
Czeremcha
Czeremcha is a village in northeastern Poland that serves as a local railway junction and border-area transport hub near Belarus.
-
E.
Tadeusz
Tadeusz is a masculine given name of Slavic origin, particularly common in Poland.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc0f8830819091f4356296234713 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a310eb08190a0fc1de2814aea08 |
completed | March 28, 2026, 5:42 a.m. |
Created at: March 27, 2026, 2:33 p.m.