Triple
T11969970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lubusz Voivodeship |
E284891
|
entity |
| Predicate | hasLargestCities |
P235
|
FINISHED |
| Object | Międzyrzecz |
E362510
|
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: Międzyrzecz | Statement: [Lubusz Voivodeship, hasLargestCities, Międzyrzecz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Międzyrzecz Context triple: [Lubusz Voivodeship, hasLargestCities, Międzyrzecz]
-
A.
Międzyrzecz
chosen
Międzyrzecz is a town in western Poland known for its historic fortifications and proximity to the extensive Międzyrzecz Fortified Region (MRU) bunker complex.
-
B.
Międzyrzec Podlaski
Międzyrzec Podlaski is a town in eastern Poland known for its historical multicultural heritage and location near important regional transport routes.
-
C.
Mierzanowo
Mierzanowo is a village in Poland notable as the birthplace of Ignacy Mościcki, the country's pre-World War II president and chemist.
-
D.
Międzychód
Międzychód is a town in western Poland known for its picturesque lakeside setting and surrounding forested landscapes.
-
E.
Działdowo
Działdowo is a town in northern Poland known for its historical significance and location within 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037bee54819085242a3ef3e286f9 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f459691ff0819099282172933d2d81 |
completed | May 1, 2026, 7:42 a.m. |
Created at: April 8, 2026, 9:46 p.m.