Triple
T35574161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radisson Lake |
E1028026
|
entity |
| Predicate | hasToponymicSignificance |
P2833
|
FINISHED |
| Object | preserves memory of Pierre-Esprit Radisson |
—
|
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: preserves memory of Pierre-Esprit Radisson | Statement: [Radisson Lake, hasToponymicSignificance, preserves memory of Pierre-Esprit Radisson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasToponymicSignificance Context triple: [Radisson Lake, hasToponymicSignificance, preserves memory of Pierre-Esprit Radisson]
-
A.
hasToponymicMotivation
Indicates that something is motivated, derived, or named based on a place name (toponym).
-
B.
hasNotableToponym
Indicates that an entity is associated with a place name that is particularly notable, distinctive, or significant.
-
C.
hasToponymy
Indicates a relationship where one entity possesses or is associated with the system, study, or set of place names (toponyms) of another entity.
-
D.
isToponymic
chosen
Indicates that something is related to or derived from a place name (a toponym).
-
E.
hasToponymicUse
Indicates that a term or name is used as a toponym, i.e., as a place name or geographic designation.
- 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_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: May 3, 2026, 4:04 p.m.