Triple
T11439475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Pyramid |
E271103
|
entity |
| Predicate | climbingGradeRelative |
P44457
|
FINISHED |
| Object | one of the most technically difficult sections on K2 |
—
|
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: one of the most technically difficult sections on K2 | Statement: [Black Pyramid, climbingGradeRelative, one of the most technically difficult sections on K2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climbingGradeRelative Context triple: [Black Pyramid, climbingGradeRelative, one of the most technically difficult sections on K2]
-
A.
climbingGradeContext
Indicates the grading system or contextual scale used to express the difficulty rating of a climb.
-
B.
climbsTo
Indicates that one entity moves upward, typically with effort or by climbing, until it reaches another entity or a higher position.
-
C.
primaryClimbingDifficulty
chosen
Indicates the main level of challenge or technical difficulty associated with a climbing route or problem.
-
D.
climbedBy
Indicates that something is ascended or scaled by an agent or entity.
-
E.
climbPerformance
Indicates how effectively or rapidly an entity ascends or gains altitude relative to conditions or expectations.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d80888190c8190b6365550ffe4931c |
completed | April 9, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69d7e7162b288190a0bfb89f7eb747c7 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:35 p.m.