Triple
T28164290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geiseltal region |
E714981
|
entity |
| Predicate | hasArtificialLake |
P62884
|
FINISHED |
| Object | Geiseltalsee |
—
|
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: Geiseltalsee | Statement: [Geiseltal region, hasArtificialLake, Geiseltalsee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtificialLake Context triple: [Geiseltal region, hasArtificialLake, Geiseltalsee]
-
A.
hasArtificialLakes
chosen
Indicates that one entity possesses, contains, or includes one or more man-made lakes within its area or domain.
-
B.
isArtificialLake
Indicates that a body of water is a man-made or human-constructed lake rather than a naturally formed one.
-
C.
isArtificialLakeIsland
Indicates that an island exists within a lake and that both the island and/or the lake are man-made rather than naturally formed.
-
D.
hasLakes
Indicates that one entity possesses, contains, or is characterized by the presence of one or more lakes.
-
E.
hasLakeLandscape
Indicates that an entity features or is characterized by a landscape that includes a lake.
- 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_69efd6b156448190bfa15958208395c3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 27, 2026, 10:08 p.m.