Triple
T12351960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dąbie |
E294510
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Ner River |
E295786
|
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: Ner River | Statement: [Dąbie, locatedOnRiver, Ner River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ner River Context triple: [Dąbie, locatedOnRiver, Ner River]
-
A.
Ner River
chosen
The Ner River is a watercourse in central Poland that flows through the Łódź region and ultimately feeds into the Warta River.
-
B.
Aar River
The Aar River is a small river in western Germany that flows through the Taunus region and passes spa towns such as Bad Schwalbach before joining the Lahn.
-
C.
Ave River
The Ave River is a watercourse in northern Portugal that flows through the Minho region before emptying into the Atlantic Ocean near the city of Vila do Conde.
-
D.
River Brun
River Brun is a small river in Lancashire, England, that flows through the town of Burnley and contributes to its local landscape and waterways.
-
E.
Eno River
The Eno River is a scenic, historically significant waterway in North Carolina known for its protected natural habitats, recreational trails, and role in the development of the Durham 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8aa33c8190b22b7dff9559b8ed |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6346faa0481909e2f8463bff88c52 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:53 p.m.