Triple
T12515354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel HEX |
E299178
|
entity |
| Predicate | allowsNonContiguousAddresses |
P3704
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Intel HEX, allowsNonContiguousAddresses, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowsNonContiguousAddresses Context triple: [Intel HEX, allowsNonContiguousAddresses, true]
-
A.
isNonContiguous
Indicates that the related elements are separated by one or more gaps and do not form a single continuous sequence or region.
-
B.
supportsAddressTypes
chosen
Indicates that an entity is capable of handling or working with one or more specified types of addresses.
-
C.
dynamicAddressAllocation
Indicates that addresses are assigned to entities dynamically at runtime rather than being fixed or statically configured.
-
D.
canAddress
Indicates that one entity has the ability or permission to direct communication, action, or service toward another entity.
-
E.
supportsByteAddressing
Indicates that one entity provides the capability for direct access to individual bytes within its addressable memory or data space for another entity.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.