Triple
T27638745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simple Machines Forum |
E696532
|
entity |
| Predicate | hasCachingSupport |
P183710
|
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: [Simple Machines Forum, hasCachingSupport, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCachingSupport Context triple: [Simple Machines Forum, hasCachingSupport, true]
-
A.
supportsDynamicCaching
Indicates that an entity is capable of enabling or handling caching behavior that can change or be configured dynamically at runtime.
-
B.
supportsL1Cache
Indicates that one entity provides or is compatible with Level 1 (L1) cache functionality for another entity.
-
C.
hasL2Cache
Indicates that an entity possesses a Level 2 (L2) cache as part of its hardware or system architecture.
-
D.
supportsCacheableMemorySize
Indicates that an entity provides or is compatible with a specific amount of memory that can be cached.
-
E.
hasOnChipCache
Indicates that one hardware component includes an integrated cache memory directly on the same chip.
- 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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f7a283388c81908e4a9ee3369e8d6f |
completed | May 3, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a224365081908ff6958e3b30bd05 |
completed | May 3, 2026, 7:29 p.m. |
Created at: April 27, 2026, 2:25 p.m.