Triple
T27121026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grenen |
E686995
|
entity |
| Predicate | bodyOfWaterConfluence |
P16534
|
FINISHED |
| Object | Skagerrak and Kattegat |
—
|
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: Skagerrak and Kattegat | Statement: [Grenen, bodyOfWaterConfluence, Skagerrak and Kattegat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyOfWaterConfluence Context triple: [Grenen, bodyOfWaterConfluence, Skagerrak and Kattegat]
-
A.
riverConfluence
Indicates the location or relationship where two or more rivers or streams join and merge into a single watercourse.
-
B.
waterwayJunction
chosen
Indicates a point where two or more waterways meet, intersect, or branch from one another.
-
C.
isWatercourseOf
Indicates that a watercourse (such as a river or stream) flows through, belongs to, or is geographically associated with a particular area or feature.
-
D.
mouthOfTheWatercourse
Indicates the location where a watercourse ends and flows into a larger body of water.
-
E.
hasBodyOfWaterDrainedBy
Indicates that a body of water is emptied or its water flow is carried away by a specified draining feature, such as a river, channel, or drainage system.
- F. None of above.
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_69ef148c2b588190afc15b529f7af845 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62443102481908682f6a9a8333c67 |
completed | May 2, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:59 a.m.