Triple
T8284612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | o32 ABI |
E193758
|
entity |
| Predicate | stackGrowthDirection |
P82501
|
FINISHED |
| Object | downward |
—
|
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: downward | Statement: [o32 ABI, stackGrowthDirection, downward]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stackGrowthDirection Context triple: [o32 ABI, stackGrowthDirection, downward]
-
A.
numberOfStacks
Indicates the count of distinct stacks associated with or contained within a given entity.
-
B.
numberOfGeneralPurposeRegisters
Indicates the quantity of general-purpose registers associated with or available in a given computing context.
-
C.
hasCountingDirection
Indicates the direction or order in which counting or enumeration proceeds between related entities.
-
D.
armSpan
Indicates the distance between an individual's outstretched fingertips, typically measured from one hand to the other across the body.
-
E.
addressSpaceSize
Indicates the total amount of addressable memory or identifier range allocated or available within a given address space.
- F. None of above. chosen
Provenance (4 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad0535081908bb234cfc0e32b32 |
completed | March 31, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69cb70ad9fc081908741f8c4a4141edf |
completed | March 31, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69cb76d648988190ab0669cc0592e827 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:52 p.m.