Triple
T14616401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tollensesee |
E343097
|
entity |
| Predicate | outflow |
P967
|
FINISHED |
| Object | Tollense |
E690107
|
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: Tollense | Statement: [Tollensesee, outflow, Tollense]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tollense Context triple: [Tollensesee, outflow, Tollense]
-
A.
Tollense River
chosen
The Tollense River is a waterway in northeastern Germany best known for the Bronze Age battlefield discovered in its valley, one of the oldest large-scale battle sites in Europe.
-
B.
Falls of Leny
Falls of Leny is a scenic series of waterfalls on the River Leny near Callander in Scotland, popular for its dramatic gorge views and forested walking trails.
-
C.
Tungelsta
Tungelsta is a locality in Stockholm County, Sweden, known for its residential character and commuter connections within the Haninge area.
-
D.
Tullinge
Tullinge is a suburban locality in the Stockholm region of Sweden, known for its residential areas, natural surroundings, and commuter connections to central Stockholm.
-
E.
Vechigen
Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46439b88190a4affcc7ccedab6b |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5cbcf08819084313bf28f0bb3e1 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:25 a.m.