Triple
T20699166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolding |
E508732
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Kolding 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: Kolding River | Statement: [Kolding, locatedOn, Kolding River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kolding River Context triple: [Kolding, locatedOn, Kolding River]
-
A.
Kolding River
chosen
Kolding River is a watercourse in southern Denmark that flows through the city of Kolding before emptying into Kolding Fjord.
-
B.
Vejle River
Vejle River is a Danish watercourse in Jutland known for flowing through the town of Vejle and its surrounding valley before emptying into Vejle Fjord.
-
C.
Odense River
The Odense River is a waterway on the Danish island of Funen that flows through the city of Odense before emptying into Odense Fjord.
-
D.
Suså River
The Suså River is one of Zealand’s largest rivers in Denmark, flowing through the town of Næstved and surrounding countryside before emptying into Karrebæk Fjord.
-
E.
Venø
Venø is a small Danish island in the Limfjord known for its scenic landscapes, birdlife, and traditional coastal village atmosphere.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c113e4cc8190aabc11e3f2530e32 |
completed | April 21, 2026, 12:13 a.m. |
Created at: April 16, 2026, 12:11 p.m.