Triple
T38261685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 42 London |
E1017943
|
entity |
| Predicate | hasLearningPace |
P186232
|
FINISHED |
| Object | self-paced |
—
|
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: self-paced | Statement: [42 London, hasLearningPace, self-paced]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLearningPace Context triple: [42 London, hasLearningPace, self-paced]
-
A.
hasLearningDifficulty
Indicates that an entity experiences challenges or impairments in learning processes or academic tasks.
-
B.
usesLearningMechanism
Indicates that one entity employs or applies a particular learning mechanism or method in its functioning or behavior.
-
C.
earningRateDependsOn
Indicates that the rate at which something is earned is determined or influenced by another factor or set of factors.
-
D.
isFastPaced
Indicates that an activity, event, or process proceeds quickly with rapid progression and little downtime.
-
E.
trainingSpeed
chosen
Indicates the rate or pace at which a training process or learning activity progresses over time.
- 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_69f76de33e4481909099fa812709bd42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69feba0f09508190b3e871c62b19ec7f |
completed | May 9, 2026, 4:37 a.m. |
| PD | Predicate disambiguation | batch_69feb957fe7c8190969fb31a6d1a59c8 |
completed | May 9, 2026, 4:34 a.m. |
Created at: May 3, 2026, 4:30 p.m.