Triple
T17265293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ostrów Wielkopolski |
E419109
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Ostrów Wlkp. |
—
|
NE NERFINISHED |
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: Ostrów Wlkp. | Statement: [Ostrów Wielkopolski, shortName, Ostrów Wlkp.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ostrów Wlkp. Context triple: [Ostrów Wielkopolski, shortName, Ostrów Wlkp.]
-
A.
Ostrów Wielkopolski
chosen
Ostrów Wielkopolski is a town in west-central Poland known for its industrial heritage and role as a local economic and cultural center in the Greater Poland region.
-
B.
Gryfice
Gryfice is a historic town in northwestern Poland known for its medieval urban layout and remnants of defensive walls.
-
C.
Kamień Pomorski
Kamień Pomorski is a historic town in north-western Poland known for its medieval architecture, spa traditions, and location near the Baltic Sea.
-
D.
Ostrów Mazowiecka
Ostrów Mazowiecka is a town in northeastern Poland known as a local administrative and commercial center with historical roots dating back to the Middle Ages.
-
E.
Łeba
Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f44ec7c81909a925fc8692b0a6c |
completed | April 19, 2026, 1:26 a.m. |
Created at: April 10, 2026, 5:40 a.m.