Triple
T12063050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opole Voivodeship |
E287221
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Namysłów |
E609096
|
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: Namysłów | Statement: [Opole Voivodeship, containsCity, Namysłów]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namysłów Context triple: [Opole Voivodeship, containsCity, Namysłów]
-
A.
Namysłów
chosen
Namysłów is a historic town in southwestern Poland known for its medieval architecture and long-standing brewing tradition.
-
B.
Sylwka
Sylwka is a Polish diminutive form of the female given name Sylwia, used as an affectionate or informal nickname.
-
C.
Nemyrów
Nemyrów is a historic town in western Ukraine, known for its former status within the Russian Empire and its multicultural heritage.
-
D.
Tyśmienica
Tyśmienica is a river in eastern Poland that flows through the Lublin region before joining the Western Bug.
-
E.
Sorkwity
Sorkwity is a village in northern Poland known for its scenic lakeside setting and historic manor house, situated in the Warmian-Masurian Voivodeship.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9043f82248190b05692aa0dc178a8 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f654eb1881908d656009f1362ecf |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.