Triple
T3117406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margherita Peak |
E65094
|
entity |
| Predicate | mainClimbingSeason |
P1325
|
FINISHED |
| Object | December–February |
—
|
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: December–February | Statement: [Margherita Peak, mainClimbingSeason, December–February]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainClimbingSeason Context triple: [Margherita Peak, mainClimbingSeason, December–February]
-
A.
climbingSeason
chosen
Indicates the period during which climbing an object, route, or area is typically allowed, feasible, or considered optimal.
-
B.
climbingCategory
Indicates the classification level or difficulty grade assigned to a climbing route, problem, or activity.
-
C.
climbingArea
Indicates that one entity is a designated location or site used for climbing activities in relation to another entity.
-
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.
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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4e73cc88190846ef37ccf1a0de7 |
completed | March 8, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_69ad9df455088190940ad04419772dc8 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:04 p.m.