Triple
T16560888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LMS Royal Scot Class |
E402333
|
entity |
| Predicate | powerClassificationLMS |
P52648
|
FINISHED |
| Object | 5XP |
—
|
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: 5XP | Statement: [LMS Royal Scot Class, powerClassificationLMS, 5XP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerClassificationLMS Context triple: [LMS Royal Scot Class, powerClassificationLMS, 5XP]
-
A.
powerClassLMS
chosen
Indicates a classification relationship where an entity is assigned to a specific power class within a Learning Management System (LMS) context.
-
B.
schoolClassification
Indicates how a school is categorized within an educational system, such as by level, type, or other official classification.
-
C.
powerClassification
Indicates how an entity’s power, strength, or influence is categorized or ranked within a defined system.
-
D.
carnegieClassification
Indicates the formal Carnegie Classification category assigned to an institution, specifying its type or level within the Carnegie higher-education taxonomy.
-
E.
educationSystemCharacteristic
Indicates a characteristic, feature, or attribute that describes an education system.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576d88288190b33543bea4706a36 |
completed | April 18, 2026, 10:05 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:15 a.m.