Triple
T20092130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zgierz |
E496296
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Bzura River |
—
|
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: Bzura River | Statement: [Zgierz, locatedOn, Bzura River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bzura River Context triple: [Zgierz, locatedOn, Bzura River]
-
A.
Bzura River
chosen
The Bzura River is a waterway in central Poland that gained historical significance as the site of a major World War II battle between Polish and German forces in 1939.
-
B.
Bystra River
The Bystra River is a small watercourse in eastern Poland that flows through the spa town of Nałęczów and its surrounding countryside.
-
C.
Bytowa River
The Bytowa River is a small watercourse in northern Poland that flows through the town of Bytów and its surrounding Pomeranian landscape.
-
D.
Kacza River
The Kacza River is a small river in northern Poland that flows through the Gdynia district of Mały Kack into the Baltic Sea.
-
E.
Pyszna River
The Pyszna River is a small watercourse in central Poland that flows through the town of Wieluń and its surrounding region.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66668db8881908c43b1deef9af1d3 |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:22 p.m.