Triple
T14430937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladyfinger Peak |
E357824
|
entity |
| Predicate | climbingInterest |
P73387
|
FINISHED |
| Object | sought after by elite climbers |
—
|
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: sought after by elite climbers | Statement: [Ladyfinger Peak, climbingInterest, sought after by elite climbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climbingInterest Context triple: [Ladyfinger Peak, climbingInterest, sought after by elite climbers]
-
A.
hasClimbingInterest
Indicates that an entity has an interest in or enthusiasm for climbing activities.
-
B.
climbingHabit
Indicates a relationship where an entity has a tendency or behavior of climbing, such as regularly ascending surfaces, structures, or other objects.
-
C.
climbingPopularity
chosen
Indicates how widely practiced, favored, or in-demand a particular form of climbing or climbing-related activity is among participants.
-
D.
climbingCategory
Indicates the classification level or difficulty grade assigned to a climbing route, problem, or activity.
-
E.
climbingSignificance
Indicates the degree to which something is important, relevant, or impactful within the context of climbing activities or climbing-related evaluation.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914570f08190b1c7c1c57a0cb476 |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.