Triple
T33417508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resia |
E855756
|
entity |
| Predicate | hasNearbyArtificialLake |
P200183
|
FINISHED |
| Object | Lake Resia |
—
|
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: Lake Resia | Statement: [Resia, hasNearbyArtificialLake, Lake Resia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyArtificialLake Context triple: [Resia, hasNearbyArtificialLake, Lake Resia]
-
A.
hasNearbyLake
Indicates that one entity is located close to or in the vicinity of a lake.
-
B.
hasNearbyLakeRegion
Indicates that one region is located close to a lake or lake-dominated area.
-
C.
isArtificialLake
Indicates that a body of water is a man-made or human-constructed lake rather than a naturally formed one.
-
D.
hasArtificialLakes
Indicates that one entity possesses, contains, or includes one or more man-made lakes within its area or domain.
-
E.
hasLakeLandscape
Indicates that an entity features or is characterized by a landscape that includes a lake.
- 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_69f3496fdf0081908c1aa30870ce518b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff79e7206c8190a809b5f2a6261378 |
completed | May 9, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69ff798356b881908645074fb3a96517 |
completed | May 9, 2026, 6:14 p.m. |
| PDg | Predicate description generation | batch_69ff79e645c08190a974b5239efac35b |
completed | May 9, 2026, 6:16 p.m. |
Created at: May 1, 2026, 1:36 a.m.