Triple
T12610760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bzura (Polish) |
E301113
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Łowicz |
—
|
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: Łowicz | Statement: [Bzura (Polish), flowsNear, Łowicz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Łowicz Context triple: [Bzura (Polish), flowsNear, Łowicz]
-
A.
Łowicz
chosen
Łowicz is a historic town in central Poland known for its rich folk traditions, distinctive regional costumes, and baroque architecture.
-
B.
Włocławek
Włocławek is a historic city in north-central Poland on the Vistula River, known for its medieval heritage and role as a regional industrial and cultural center.
-
C.
Ostrołęka
Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
-
D.
Inowrocław
Inowrocław is a historic spa and industrial city in north-central Poland, known for its saltworks and location in the Kuyavia region.
-
E.
Mielec
Mielec is a town in southeastern Poland known for its aviation industry and manufacturing sector.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954ea1d748190a848e8a7873e2ea5 |
completed | April 10, 2026, 7:52 p.m. |
Created at: April 9, 2026, 5:11 p.m.