Triple
T37819925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UIAA climbing grade system |
E942880
|
entity |
| Predicate | lowestCommonGrade |
P12750
|
FINISHED |
| Object | III |
—
|
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: III | Statement: [UIAA climbing grade system, lowestCommonGrade, III]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowestCommonGrade Context triple: [UIAA climbing grade system, lowestCommonGrade, III]
-
A.
lowestGrade
chosen
Indicates that one entity has the smallest or worst grade value compared to all other relevant entities in a given context.
-
B.
lowestDegreeClass
Indicates that one class has the lowest degree (e.g., fewest connections, edges, or relationships) among a set of classes in a given structure or network.
-
C.
lowestScore
Indicates that the associated value is the smallest (minimum) score among a set of scores.
-
D.
gradeIn
Indicates that an entity has a particular grade or score within a specified course, assignment, or evaluation context.
-
E.
grades
Indicates that one entity evaluates and assigns a score or level of performance to 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_69f76ee987588190906506e759be5db3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.