Triple
T14218423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Limits |
E352420
|
entity |
| Predicate | typeOfContentEmphasized |
P57060
|
FINISHED |
| Object | edgy programming |
—
|
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: edgy programming | Statement: [No Limits, typeOfContentEmphasized, edgy programming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfContentEmphasized Context triple: [No Limits, typeOfContentEmphasized, edgy programming]
-
A.
hasEmphasis
Indicates that one element is given special stress, importance, or prominence relative to others.
-
B.
featuredContentType
chosen
Indicates the specific type or category of content that is highlighted or promoted as featured.
-
C.
mainContentType
Indicates the primary type or category of content associated with an entity or resource.
-
D.
notableContentType
Indicates the type or category of content for which an entity is notable or best known.
-
E.
contentTypesRecommended
Indicates that certain types of content are suggested or recommended in relation to a given entity or context.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de621258d4819085f358cd2cf109e4 |
completed | April 14, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69de05bcd7d48190a4848d9320404aa6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:06 a.m.