Triple
T7913579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brda River |
E183759
|
entity |
| Predicate | cityOnRiver |
P165
|
FINISHED |
| Object | Koronowo |
E630188
|
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: Koronowo | Statement: [Brda River, cityOnRiver, Koronowo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koronowo Context triple: [Brda River, cityOnRiver, Koronowo]
-
A.
Koronowo
chosen
Koronowo is a historic town in north-central Poland, known for its medieval heritage and scenic location near the Brda River.
-
B.
Korczyc
Korczyc is a Polish surname most notably borne by Władysław Korczyc, a general and political figure in mid-20th-century Poland.
-
C.
Kromołów
Kromołów is a historic district of the city of Zawiercie in southern Poland, known as the place where the Warta River begins.
-
D.
Koprzywnica
Koprzywnica is a small town in southeastern Poland known for its historic Cistercian monastery and location within the Świętokrzyskie Voivodeship.
-
E.
Korsze
Korsze is a small town in northern Poland, situated in the Warmian-Masurian Voivodeship and known as a local rail and service center for the surrounding rural area.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a748f4c8190bcd868de2fcf0b3a |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bdfb8d0819089cf1268df61bcdc |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:04 p.m.