Triple
T33435926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSS Pseudo-Elements Module |
E856238
|
entity |
| Predicate | specifiesPseudoElement |
P5374
|
FINISHED |
| Object | ::before |
—
|
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: ::before | Statement: [CSS Pseudo-Elements Module, specifiesPseudoElement, ::before]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: specifiesPseudoElement Context triple: [CSS Pseudo-Elements Module, specifiesPseudoElement, ::before]
-
A.
hasSpeculativeElement
Indicates that something includes a conjectural, hypothetical, or not-yet-verified component or aspect.
-
B.
possibleElement
Indicates that something can potentially be a member, component, or constituent part of another entity or set, without asserting that it actually is.
-
C.
hasSpecificity
Indicates that one entity is defined, characterized, or constrained in a more detailed or narrowly focused way relative to another.
-
D.
hasSpecification
chosen
Indicates that an entity is associated with a particular specification that defines or constrains its properties, behavior, or requirements.
-
E.
usesSpecEngine
Indicates that one entity employs or relies on a specific engine as its underlying mechanism or processing component.
- 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 1, 2026, 1:36 a.m.