Triple
T35574158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radisson Lake |
E1028026
|
entity |
| Predicate | hasCartographicCategory |
P132234
|
FINISHED |
| Object | named lake |
—
|
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: named lake | Statement: [Radisson Lake, hasCartographicCategory, named lake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCartographicCategory Context triple: [Radisson Lake, hasCartographicCategory, named lake]
-
A.
hasCategorySystem
Indicates that an entity is associated with or organized according to a particular categorization system.
-
B.
hasCategories
Indicates that an entity is associated with one or more categories that classify or group it.
-
C.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
D.
cartographicType
chosen
Indicates the specific kind or category of cartographic representation associated with an entity (e.g., map type or mapping style).
-
E.
hasCategoryLevel
Indicates that something is associated with a specific hierarchical category or tier within a classification 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_69f76e0386688190b931bacdc145938c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff9a25407c81909faa86e72a7a9d17 |
completed | May 9, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69ff99c613688190a03b2f93d5ccad2b |
completed | May 9, 2026, 8:32 p.m. |
Created at: May 3, 2026, 4:04 p.m.