Triple
T30288522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costa Book Award for Best Novel (shortlisted) |
E770303
|
entity |
| Predicate | typicalShortlistSize |
P111899
|
FINISHED |
| Object | 3 to 5 novels |
—
|
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: 3 to 5 novels | Statement: [Costa Book Award for Best Novel (shortlisted), typicalShortlistSize, 3 to 5 novels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalShortlistSize Context triple: [Costa Book Award for Best Novel (shortlisted), typicalShortlistSize, 3 to 5 novels]
-
A.
shortListSize
chosen
Indicates the number of items currently contained in a short list associated with an entity or process.
-
B.
typicalCompanySize
Indicates the usual or most common number of employees associated with a company.
-
C.
typicalTeamSize
Indicates the usual or most common number of members that make up a given team.
-
D.
typicalGroupSize
Indicates the usual or characteristic number of individuals that typically form a group in this context.
-
E.
typicalNumberOfSelections
Indicates the usual or expected count of selections made in a given choice or selection process.
- 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_69f224875c288190a9b96b975006ec4a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 7:46 p.m.