Triple
T22141559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallader |
E547169
|
entity |
| Predicate | isWrittenInDirection |
P2264
|
FINISHED |
| Object | left-to-right |
—
|
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 | Statement: [Vallader, isWrittenInDirection, left-to-right]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWrittenInDirection Context triple: [Vallader, isWrittenInDirection, left-to-right]
-
A.
hasWritingDirection
chosen
Indicates the direction in which writing or text is read or written for a given script, language, or text system.
-
B.
isDirection
Indicates that one entity specifies or represents the orientation or course along which another entity moves, points, or is aligned.
-
C.
isWrittenWith
Indicates that something is created or expressed using a particular writing tool, medium, or system.
-
D.
translationDirection
Indicates the source and target languages involved in a translation, specifying the direction from the original language to the translated language.
-
E.
bidiClass
Indicates the bidirectional text classification assigned to a character, specifying how it behaves in left-to-right and right-to-left text layout.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129beb6c8819083be3b7479bc032f |
completed | April 28, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69e71b384e008190b723c9a0f1089d66 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:32 p.m.