Triple
T34771179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LLM at the University of Cambridge |
E1002364
|
entity |
| Predicate | programmeLength |
P24633
|
FINISHED |
| Object | 9–12 months |
—
|
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: 9–12 months | Statement: [LLM at the University of Cambridge, programmeLength, 9–12 months]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programmeLength Context triple: [LLM at the University of Cambridge, programmeLength, 9–12 months]
-
A.
programLength
chosen
Indicates the duration or total length of a program, typically measured in time or size.
-
B.
lengthInMinutes
Indicates the duration of something expressed as a number of minutes.
-
C.
courseLength
Indicates the duration or total length of a course, typically measured in units such as hours, weeks, or credits.
-
D.
lengthInSeconds
Indicates that one entity specifies the duration of another entity measured in seconds.
-
E.
sessionLength
Indicates the duration of time that a particular session lasts from start to end.
- 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_69f76db20dac8190b1e8d0ca4dc1d59f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.