Triple
T27895109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. Norman Collie |
E705464
|
entity |
| Predicate | hasMountaineeringArea |
P180856
|
FINISHED |
| Object | Canadian Rockies |
—
|
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: Canadian Rockies | Statement: [J. Norman Collie, hasMountaineeringArea, Canadian Rockies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMountaineeringArea Context triple: [J. Norman Collie, hasMountaineeringArea, Canadian Rockies]
-
A.
hasMountainSport
Indicates that an entity is associated with or offers a particular mountain-related sport or activity.
-
B.
hasMountain
Indicates that a location or region possesses or contains at least one mountain.
-
C.
hasMountainAccess
Indicates that an entity has the right, ability, or means to enter, use, or traverse a mountain area.
-
D.
hasClimbingTrail
Indicates that a location or area includes or provides access to a designated climbing trail.
-
E.
hasSkiAreaAccess
Indicates that an entity provides direct access to, or is directly connected with, a ski area or ski facilities.
- 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_69ef96b490ac8190a412d04c5d009f3e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
| PDg | Predicate description generation | batch_69f75788d40c819083bf2567b3091585 |
completed | May 3, 2026, 2:11 p.m. |
Created at: April 27, 2026, 6:38 p.m.