Triple
T4051103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AMD64 architecture |
E84586
|
entity |
| Predicate | physicalAddressSize |
P3700
|
FINISHED |
| Object | implementation dependent |
—
|
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: implementation dependent | Statement: [AMD64 architecture, physicalAddressSize, implementation dependent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: physicalAddressSize Context triple: [AMD64 architecture, physicalAddressSize, implementation dependent]
-
A.
addressSpaceSize
chosen
Indicates the total amount of addressable memory or identifier range allocated or available within a given address space.
-
B.
supportsByteAddressing
Indicates that one entity provides the capability for direct access to individual bytes within its addressable memory or data space for another entity.
-
C.
hasWordSize
Indicates that an entity possesses or is characterized by a specific word length or word-based size.
-
D.
addressFamily
Indicates the type of network address family (such as IPv4 or IPv6) associated with or used by an entity in a communication context.
-
E.
addressLength
Indicates the length or number of characters in an address.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb8539148190990468c1429be9dd |
completed | March 9, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69aef90249e4819095e9e043bc4aa9a6 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:37 p.m.