Triple
T31255792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiftcurrent Glacier |
E796965
|
entity |
| Predicate | hasParkRegion |
P57709
|
FINISHED |
| Object | Many Glacier region of Glacier National Park |
—
|
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: Many Glacier region of Glacier National Park | Statement: [Swiftcurrent Glacier, hasParkRegion, Many Glacier region of Glacier National Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParkRegion Context triple: [Swiftcurrent Glacier, hasParkRegion, Many Glacier region of Glacier National Park]
-
A.
hasParkDistrict
Indicates that an entity is associated with, located within, or administered by a specific park district.
-
B.
hasParkArea
Indicates that an entity includes or is associated with a designated park or recreational area within its boundaries.
-
C.
hasParkSection
chosen
Indicates that one entity includes, contains, or is associated with a specific section or area of a park.
-
D.
hasParkStatus
Indicates that an entity holds a particular designation or status related to being a park (e.g., national park, city park, protected parkland).
-
E.
hasParkAccess
Indicates that an entity is permitted to enter, use, or otherwise access a specified park or park area.
- 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_69f224dd5fdc81908a4cd24917b67668 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
Created at: April 29, 2026, 9:12 p.m.