Triple
T6264479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aspects of the Novel |
E140379
|
entity |
| Predicate | numberOfLectures |
P69043
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Aspects of the Novel, numberOfLectures, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLectures Context triple: [Aspects of the Novel, numberOfLectures, 8]
-
A.
hasNumberOfLessons
Indicates the specific count of lessons associated with an entity.
-
B.
numberOfCourses
Indicates the quantity of courses associated with a given entity.
-
C.
lecturesHeldIn
Indicates that a lecture event takes place or is conducted within a specific location or venue.
-
D.
lectureSeries
Indicates a relationship where a set of lectures is organized and presented as a coherent, thematically linked series.
-
E.
courseLength
Indicates the duration or total length of a course, typically measured in units such as hours, weeks, or credits.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0638c43808190a375e9f29f2b2138 |
completed | March 22, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c05606fb50819082d1a5a91e5030b6 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056c965ac8190b938502fa8c74e1b |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:25 p.m.