Triple
T64775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Italic script |
E1287
|
entity |
| Predicate | writingDirectionVariants |
P2264
|
FINISHED |
| Object | right-to-left and boustrophedon in some inscriptions |
—
|
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: right-to-left and boustrophedon in some inscriptions | Statement: [Old Italic script, writingDirectionVariants, right-to-left and boustrophedon in some inscriptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writingDirectionVariants Context triple: [Old Italic script, writingDirectionVariants, right-to-left and boustrophedon in some inscriptions]
-
A.
hasWritingDirection
chosen
Indicates the direction in which writing or text is read or written for a given script, language, or text system.
-
B.
writingSystem
Indicates that one entity is the script or system of written symbols used to represent the language or content of another entity.
-
C.
languageBranch
Indicates that one language belongs to, or is classified under, a broader linguistic branch or subgroup.
-
D.
writtenForm
Indicates that one entity is the textual or orthographic representation (spelling or written version) of another entity.
-
E.
isMostWidelyUsedWritingSystem
Indicates that the subject writing system is used by more people or in more contexts than any other writing system.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a2516eda54819090f5c14384d4eab1 |
completed | Feb. 28, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69a24ea5c140819080409a968c8d2ce8 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.