Triple
T8341569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberweser |
E195927
|
entity |
| Predicate | startsAfterConfluenceOf |
P82191
|
FINISHED |
| Object | Weser headstreams |
—
|
LITERAL 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: Weser headstreams | Statement: [Oberweser, startsAfterConfluenceOf, Weser headstreams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startsAfterConfluenceOf Context triple: [Oberweser, startsAfterConfluenceOf, Weser headstreams]
-
A.
confluenceWith
Indicates that one entity joins or merges together with another, typically at a shared meeting point.
-
B.
convenedAfter
Indicates that one event, meeting, or gathering was formally brought together at a time later than another specified event.
-
C.
tookPlaceAfter
Indicates that one event or occurrence happened later in time than another event or occurrence.
-
D.
locatedAtConfluenceOf
Indicates that something is situated at the meeting point where two or more bodies of water or similar flowing features join together.
-
E.
locatedAfter
Indicates that one entity is positioned later than another along a defined sequence, order, or spatial/temporal axis.
- F. None of above. chosen
Provenance (4 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fe9efec81908e0c9ded3963bac5 |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d823b08190a54fadb50660cda5 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:58 p.m.