Triple
T10825817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | reStructuredText |
E255494
|
entity |
| Predicate | supportsInlineMarkup |
P74593
|
FINISHED |
| Object | emphasis |
—
|
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: emphasis | Statement: [reStructuredText, supportsInlineMarkup, emphasis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsInlineMarkup Context triple: [reStructuredText, supportsInlineMarkup, emphasis]
-
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.
supportsMarkdown
Indicates that one entity provides the ability for another entity to use or display content formatted in Markdown.
-
C.
supportsTextFormat
Indicates that one entity is capable of handling, rendering, or otherwise working with a specified text format.
-
D.
supportsLine
Indicates that one entity provides structural, functional, or conceptual backing or reinforcement to a particular line (such as a line of text, code, argument, or physical alignment).
-
E.
supportedIn
Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734d0389c819090a892693c4046ed |
completed | April 9, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69d70d1bf3648190b36fa96ea018e0dc |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.