Triple
T27638744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simple Machines Forum |
E696532
|
entity |
| Predicate | hasErrorLogging |
P164514
|
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, hasErrorLogging, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasErrorLogging Context triple: [Simple Machines Forum, hasErrorLogging, true]
-
A.
hasErrorType
Indicates that an entity is associated with, or classified by, a specific type or category of error.
-
B.
hasException
Indicates that a general rule, process, or condition does not apply in a particular case due to a specified exception.
-
C.
hasExceptionFor
Indicates that a general rule, condition, or behavior does not apply in a particular case or under specific circumstances.
-
D.
errorOn
Indicates that one entity experiences, produces, or is associated with an error in relation to another entity or context.
-
E.
hasGlobalErrorOrder
Indicates that there exists a defined global ordering or ranking of errors associated with the related entities.
- 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_69f64e6e8c9081908ce4d364aa26147a |
completed | May 2, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 27, 2026, 2:25 p.m.