Triple
T37819935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UIAA climbing grade system |
E942880
|
entity |
| Predicate | gradeFormat |
P189245
|
FINISHED |
| Object | Roman numeral with optional plus or minus |
—
|
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: Roman numeral with optional plus or minus | Statement: [UIAA climbing grade system, gradeFormat, Roman numeral with optional plus or minus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradeFormat Context triple: [UIAA climbing grade system, gradeFormat, Roman numeral with optional plus or minus]
-
A.
gradeNumber
Indicates the numerical grade or level assigned to an entity within an ordered grading or classification system.
-
B.
gradeType
Indicates the classification or category of a grade assigned in an evaluation or assessment context.
-
C.
gradingSystem
Indicates the method or criteria by which performance, quality, or achievement is evaluated and assigned a grade or score.
-
D.
gradeStructure
Indicates the hierarchical organization or breakdown of grades or scoring components within an evaluation system.
-
E.
gradeCategory
Indicates the classification of a grade into a broader category or level (such as letter grade, performance band, or pass/fail group).
- 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_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. |
| PDg | Predicate description generation | batch_69fbbae3fc508190adff3d7abbf107a4 |
completed | May 6, 2026, 10:04 p.m. |
Created at: May 3, 2026, 4:19 p.m.