Triple
T3049841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSS Writing Modes Module |
E83539
|
entity |
| Predicate | supportsScriptDirection |
P3658
|
FINISHED |
| Object | left-to-right scripts |
—
|
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: left-to-right scripts | Statement: [CSS Writing Modes Module, supportsScriptDirection, left-to-right scripts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsScriptDirection Context triple: [CSS Writing Modes Module, supportsScriptDirection, left-to-right scripts]
-
A.
hasWritingDirection
Indicates the direction in which writing or text is read or written for a given script, language, or text system.
-
B.
scriptDirection
chosen
Indicates the direction in which a writing system or script is read or written (e.g., left-to-right, right-to-left, top-to-bottom).
-
C.
associatedLanguageScript
Indicates that there is a relationship between a language and the script or writing system used to represent it.
-
D.
containsScript
Indicates that one entity includes or embeds the script of another entity within it.
-
E.
translationDirection
Indicates the source and target languages involved in a translation, specifying the direction from the original language to the translated language.
- 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9bb00a348190877c9cbf0f13cba4 |
completed | March 8, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69ad962195388190856013a2519c2b0f |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.