Triple
T7834229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pasang Dawa Lama |
E181649
|
entity |
| Predicate | typeOfClimber |
P79273
|
FINISHED |
| Object | high-altitude climber |
—
|
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: high-altitude climber | Statement: [Pasang Dawa Lama, typeOfClimber, high-altitude climber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfClimber Context triple: [Pasang Dawa Lama, typeOfClimber, high-altitude climber]
-
A.
climbingCategory
Indicates the classification level or difficulty grade assigned to a climbing route, problem, or activity.
-
B.
climbingDiscipline
Indicates the specific style or category of climbing practiced or associated with an entity (e.g., bouldering, sport, trad).
-
C.
climbingClass
Indicates the difficulty or grade level assigned to a climbing route, problem, or activity.
-
D.
climbingActivity
Indicates an activity where an entity ascends or scales a surface, structure, or natural formation, typically using physical effort and coordination.
-
E.
climbingHabit
Indicates a relationship where an entity has a tendency or behavior of climbing, such as regularly ascending surfaces, structures, or other objects.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb064a47648190af2ca2b336584a92 |
completed | March 30, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69cae91e98988190abd4ece75932c589 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:45 p.m.