Triple
T4129555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coma Pedrosa |
E85006
|
entity |
| Predicate | hasRouteDifficulty |
P24163
|
FINISHED |
| Object | moderate to demanding |
—
|
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: moderate to demanding | Statement: [Coma Pedrosa, hasRouteDifficulty, moderate to demanding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRouteDifficulty Context triple: [Coma Pedrosa, hasRouteDifficulty, moderate to demanding]
-
A.
hasTrailDifficulty
chosen
Indicates the level of challenge or effort required to traverse a particular trail or route.
-
B.
difficultyRelativeToOtherRoutes
Indicates how the difficulty level of one route compares relative to other routes.
-
C.
hasEasiestRoute
Indicates that one entity provides or represents the simplest or least difficult route or path to reach another entity or destination.
-
D.
hasBeginnerTerrain
Indicates that something provides or includes terrain or areas suitable for beginners.
-
E.
hasMeasurementDifficulty
Indicates that performing a measurement on something is challenging or problematic in some way.
- 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af01883b6c8190a482ead589a131a5 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:42 p.m.