Triple
T27638749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simple Machines Forum |
E696532
|
entity |
| Predicate | usesMarkup |
P74593
|
FINISHED |
| Object | BBCode |
—
|
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: BBCode | Statement: [Simple Machines Forum, usesMarkup, BBCode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMarkup Context triple: [Simple Machines Forum, usesMarkup, BBCode]
-
A.
supportsMarkupStyle
chosen
Indicates that one entity is capable of handling, rendering, or otherwise working with a specified markup style associated with another entity.
-
B.
usedMark
Indicates that one entity has employed or applied a particular mark, symbol, or indicator in some context or action.
-
C.
canMark
Indicates that one entity has the ability or permission to mark, label, or annotate another entity.
-
D.
usedInMarketingMaterials
Indicates that something is included or featured as part of marketing or promotional materials.
-
E.
usedReportingMarks
Indicates that an entity employed specific railroad reporting marks to identify rolling stock or operations.
- 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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 27, 2026, 2:25 p.m.