Triple
T22769524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bandersnatch |
E563215
|
entity |
| Predicate | hasChoiceCount |
P24477
|
FINISHED |
| Object | over 250 decision points (approximate) |
—
|
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: over 250 decision points (approximate) | Statement: [Bandersnatch, hasChoiceCount, over 250 decision points (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChoiceCount Context triple: [Bandersnatch, hasChoiceCount, over 250 decision points (approximate)]
-
A.
canChoose
Indicates that an entity has the ability or permission to select one option or entity from among alternatives.
-
B.
hasAlternativeMultiplierChoice
Indicates that an entity is associated with one or more alternative options for a multiplier that can be chosen instead of a default value.
-
C.
requiresChoiceBetween
Indicates that one must select between two or more specified options, and that making such a choice is necessary in the given context.
-
D.
typicalNumberOfSelections
chosen
Indicates the usual or expected count of selections made in a given choice or selection process.
-
E.
hasOptionsListed
Indicates that one entity presents or enumerates a set of selectable options associated with another entity or context.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b59c9cc8190a6edd68f3209a672 |
completed | April 29, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:27 p.m.