Triple
T6084214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro Catedral |
E135596
|
entity |
| Predicate | hasDifficultyLevels |
P2406
|
FINISHED |
| Object | beginner |
—
|
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: beginner | Statement: [Cerro Catedral, hasDifficultyLevels, beginner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDifficultyLevels Context triple: [Cerro Catedral, hasDifficultyLevels, beginner]
-
A.
difficultyClassRange
Indicates the range of difficulty classes within which an action, task, or challenge is considered to fall.
-
B.
difficulty
chosen
Indicates the level of challenge, complexity, or effort required to perform an action, solve a problem, or achieve a particular outcome.
-
C.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
D.
hasTrailDifficulty
Indicates the level of challenge or effort required to traverse a particular trail or route.
-
E.
levels
Indicates that one entity adjusts, equalizes, or smooths out the height, intensity, or degree of another entity.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057877b448190aa12d2484102eeaa |
completed | March 22, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:11 p.m.