Triple
T20457991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunflint Range |
E501845
|
entity |
| Predicate | hasOutcrops |
P22129
|
FINISHED |
| Object | along north shore of Lake Superior |
—
|
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: along north shore of Lake Superior | Statement: [Gunflint Range, hasOutcrops, along north shore of Lake Superior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutcrops Context triple: [Gunflint Range, hasOutcrops, along north shore of Lake Superior]
-
A.
hasNamedOutcrop
Indicates that an entity is associated with a specific outcrop that has been given a distinct name.
-
B.
hasCliffsOn
Indicates that one entity possesses or features cliffs located along or on the surface of another entity.
-
C.
hasOutdoorResource
Indicates that an entity is associated with, provides, or includes access to an outdoor resource or facility.
-
D.
hasLandscapeFeatures
chosen
Indicates that an entity possesses or includes specific landscape-related characteristics or elements.
-
E.
hasCaves
Indicates that one entity possesses, contains, or is characterized by the presence of caves.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a2a8a88190992211b09295d8ea |
completed | April 20, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69e57679eb40819086142df3e39c928e |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:33 a.m.