Triple
T23953064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Шхара |
E603101
|
entity |
| Predicate | относитсяККатегорииСложностиВосхождений |
P154481
|
FINISHED |
| Object | высокая |
—
|
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: высокая | Statement: [Шхара, относитсяККатегорииСложностиВосхождений, высокая]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: относитсяККатегорииСложностиВосхождений Context triple: [Шхара, относитсяККатегорииСложностиВосхождений, высокая]
-
A.
climbingDifficultyContext
Indicates the contextual conditions or factors (such as environment, route type, or situation) under which a climbing difficulty assessment applies.
-
B.
durationTypicalAscent
Indicates the typical amount of time required to complete an ascent.
-
C.
hasPopularAscentRouteFrom
Indicates that there exists a commonly used or well-known route for ascending to a place or peak starting from the specified origin location.
-
D.
typeOfClimb
Indicates the specific style or category of climbing activity associated with a climb (e.g., bouldering, sport, trad).
-
E.
climbingDifficultyReputation
Indicates the perceived level of challenge or toughness associated with climbing something, based on reputation rather than objective measurement.
- 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0d558748190a51b5732a3e6713c |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 9:21 p.m.