Triple
T37661743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wither Skeleton Skull |
E937732
|
entity |
| Predicate | stackSize |
P100803
|
FINISHED |
| Object | 64 |
—
|
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: 64 | Statement: [Wither Skeleton Skull, stackSize, 64]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stackSize Context triple: [Wither Skeleton Skull, stackSize, 64]
-
A.
stackPointerWidth
Indicates the width, typically in bits, of the stack pointer used to address or index the call stack in a computing system.
-
B.
maxStackSize
chosen
Indicates the maximum number of identical items or elements that can be grouped or stacked together as a single unit.
-
C.
numberOfStacks
Indicates the count of distinct stacks associated with or contained within a given entity.
-
D.
stateSize
Indicates the relative or absolute physical extent or dimensions of a state, such as its area or population size.
-
E.
stackStructure
Indicates that one entity is arranged on top of or in a layered order relative to another, forming a stack-like structure.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.