Triple
T37327511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1897 Mount Saint Elias expedition |
E926649
|
entity |
| Predicate | hasCoordinateOnMountain |
P205837
|
FINISHED |
| Object | near 60.293°N 140.929°W |
—
|
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: near 60.293°N 140.929°W | Statement: [1897 Mount Saint Elias expedition, hasCoordinateOnMountain, near 60.293°N 140.929°W]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoordinateOnMountain Context triple: [1897 Mount Saint Elias expedition, hasCoordinateOnMountain, near 60.293°N 140.929°W]
-
A.
hasMountain
Indicates that a location or region possesses or contains at least one mountain.
-
B.
hasNearestMountain
Indicates that one entity is the closest mountain geographically relative to another entity.
-
C.
isMountOf
Indicates that one entity serves as the riding animal or mount for another entity.
-
D.
locatedInMountain
Indicates that something is situated within, on, or as part of a mountain.
-
E.
endPointMountain
Indicates that a path, route, or boundary terminates at a mountain.
- 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:16 p.m.