Triple
T7036293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aiguille Noire de Peuterey |
E163392
|
entity |
| Predicate | difficultyNormalRoute |
P4582
|
FINISHED |
| Object | AD |
—
|
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: AD | Statement: [Aiguille Noire de Peuterey, difficultyNormalRoute, AD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: difficultyNormalRoute Context triple: [Aiguille Noire de Peuterey, difficultyNormalRoute, AD]
-
A.
climbingDifficultyStandardRoute
chosen
Indicates the level of difficulty associated with ascending via the standard or most commonly used route.
-
B.
difficultyRelativeToOtherRoutes
Indicates how the difficulty level of one route compares relative to other routes.
-
C.
hasTrailDifficulty
Indicates the level of challenge or effort required to traverse a particular trail or route.
-
D.
difficulty
Indicates the level of challenge, complexity, or effort required to perform an action, solve a problem, or achieve a particular outcome.
-
E.
standardClimbingRouteType
Indicates the classification of a climbing route according to a recognized grading or style system.
- 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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:36 p.m.