Triple
T32160814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diemel Dam |
E821420
|
entity |
| Predicate | reservoirNameInGerman |
P42412
|
FINISHED |
| Object | Diemelsee |
—
|
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: Diemelsee | Statement: [Diemel Dam, reservoirNameInGerman, Diemelsee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reservoirNameInGerman Context triple: [Diemel Dam, reservoirNameInGerman, Diemelsee]
-
A.
reservoirAlsoKnownAs
chosen
Indicates that a reservoir is referred to by an alternative name or alias.
-
B.
reservoirNameEtymology
Indicates the origin or source of a reservoir’s name, such as the historical, cultural, or linguistic reason it was given that name.
-
C.
namedReservoirSurfaceName
Indicates that a specific name is assigned to the surface of a reservoir.
-
D.
reservoir
Indicates that one entity serves as a storage or containment source (often for a resource) that can supply or affect another entity.
-
E.
nearestLargeReservoir
Indicates that one entity is the closest large reservoir in distance to the other entity.
- 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_69f34905e098819082191a6922a6d607 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6ba1a2d4c8190aa73a7b9b37c7c0d |
completed | May 3, 2026, 2:59 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:32 a.m.