Triple
T4651629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warta River |
E102306
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Konin |
E176381
|
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: Konin | Statement: [Warta River, flowsThrough, Konin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konin Context triple: [Warta River, flowsThrough, Konin]
-
A.
Konin
chosen
Konin is an industrial city in central Poland known for its power plants and location along the Warta River.
-
B.
Koningslo
Koningslo is a residential neighborhood of the city of Vilvoorde in Flemish Brabant, Belgium.
-
C.
Koreiz
Koreiz is a resort settlement on the southern coast of Crimea, known for its seaside location and historic villas.
-
D.
Settsu
Settsu is a city in Osaka Prefecture, Japan, known as part of the Osaka metropolitan area.
-
E.
Kirishi
Kirishi is an industrial town in northwestern Russia known for its major oil refinery and chemical industries.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd630343f88190954d19fcd18a5864 |
completed | March 20, 2026, 3:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfae7636881908244b86cba1c66b7 |
completed | March 21, 2026, 1:56 a.m. |
Created at: March 20, 2026, 1:14 p.m.