Triple
T19474816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twelve Apostles |
E487216
|
entity |
| Predicate | currentNumberOfStacks |
P44200
|
FINISHED |
| Object | fewer than twelve |
—
|
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: fewer than twelve | Statement: [Twelve Apostles, currentNumberOfStacks, fewer than twelve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentNumberOfStacks Context triple: [Twelve Apostles, currentNumberOfStacks, fewer than twelve]
-
A.
numberOfStacks
chosen
Indicates the count of distinct stacks associated with or contained within a given entity.
-
B.
hasStacks
Indicates that one entity possesses or contains multiple layered or piled units of another entity.
-
C.
maxStackSize
Indicates the maximum number of identical items or elements that can be grouped or stacked together as a single unit.
-
D.
isStackedWith
Indicates that one object is positioned directly on top of or beneath another object so that they form a vertical stack together.
-
E.
hasAlternativeStack
Indicates that an entity is associated with a different or substitute stack configuration or implementation that can be used in place of the primary one.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633f126988190890ff8e5730e4ad3 |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.