Triple
T28423505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Gras |
E720006
|
entity |
| Predicate | mountaineeringRegion |
P136500
|
FINISHED |
| Object | Alps |
—
|
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: Alps | Statement: [Jean Gras, mountaineeringRegion, Alps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountaineeringRegion Context triple: [Jean Gras, mountaineeringRegion, Alps]
-
A.
notableClimbRegion
Indicates that a climbing route, ascent, or climber is notably associated with a particular geographic climbing region.
-
B.
regionOfMountaineeringActivity
chosen
Indicates the geographic area where the mountaineering activity takes place or is carried out.
-
C.
skiRegion
Indicates that a location is recognized as a ski area or resort where skiing activities take place.
-
D.
firstAscentRegion
Indicates the geographic region where the first successful ascent of something (typically a mountain or climbing route) took place.
-
E.
mountainRange
Indicates that one entity is a mountain range that the other entity is part of, associated with, or located in.
- 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_69eff6f1c5088190bc24bfbf92f9c017 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 1:35 a.m.