Triple
T9638842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gniezno Land |
E233005
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Polish |
E3589
|
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: Polish | Statement: [Gniezno Land, language, Polish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polish Context triple: [Gniezno Land, language, Polish]
-
A.
Polish
Polish refers to the West Slavic ethnic group and nation primarily associated with Poland, its language, and its cultural heritage.
-
B.
Polish language
chosen
Polish language is a West Slavic language spoken primarily in Poland and by Polish communities worldwide, written in the Latin alphabet with distinctive diacritics.
-
C.
CZ-PL
CZ-PL is the ISO 3166-2 subdivision code assigned to the Plzeň Region of the Czech Republic.
-
D.
Polish Wikipedia
Polish Wikipedia is the Polish-language edition of the free, collaboratively edited online encyclopedia Wikipedia.
-
E.
Polish Wikiquote
Polish Wikiquote is the Polish-language edition of Wikiquote, a free online collection of sourced quotations, proverbs, and sayings.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b532aa4819087b56be6f5635126 |
completed | April 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18243cfdc81908ecdf039c38de478 |
completed | April 4, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:11 p.m.