Triple
T23322949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skawa |
E591204
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Zator |
—
|
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: Zator | Statement: [Skawa, flowsThrough, Zator]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zator Context triple: [Skawa, flowsThrough, Zator]
-
A.
Zator
chosen
Zator is a small historic town in southern Poland known for its medieval heritage and proximity to major tourist attractions in Lesser Poland.
-
B.
Zamberk
Zamberk is a small historic town in the Pardubice Region of the Czech Republic, known for its traditional architecture and scenic setting in the Orlické Mountains foothills.
-
C.
Zoettl
Zoettl is the surname of Brother Joseph Zoettl, a Benedictine monk known for creating the Ave Maria Grotto in Alabama.
-
D.
Zenta
Zenta is a historic town in northern Serbia, best known as the site of a decisive 1697 battle between the Habsburg Monarchy and the Ottoman Empire.
-
E.
Kleiser
Kleiser is a surname most notably associated with American film director Randal Kleiser, known for directing the musical romantic comedy "Grease."
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978731b0819090f92ef768f2a749 |
completed | April 29, 2026, 5:30 a.m. |
Created at: April 17, 2026, 5:07 p.m.