Triple
T26294018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takeo |
E661361
|
entity |
| Predicate | associatedScriptDirection |
P3658
|
FINISHED |
| Object | horizontal 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: horizontal left-to-right | Statement: [Takeo, associatedScriptDirection, horizontal left-to-right]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedScriptDirection Context triple: [Takeo, associatedScriptDirection, horizontal left-to-right]
-
A.
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).
-
B.
associatedLanguageScript
Indicates that there is a relationship between a language and the script or writing system used to represent it.
-
C.
scriptOrientation
Indicates the direction or layout in which a script or writing system is read or arranged (e.g., left-to-right, right-to-left, top-to-bottom).
-
D.
hasWritingDirection
Indicates the direction in which writing or text is read or written for a given script, language, or text system.
-
E.
scriptDirectionOrigin
Indicates the original writing direction (such as left-to-right or right-to-left) from which a script’s layout or orientation is derived.
- 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_69ee812cd48c81908054068f545f0526 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69ff0491409c8190be40f633a58da0b1 |
completed | May 9, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69ff040bb5cc81909534c7eee85d5e90 |
completed | May 9, 2026, 9:53 a.m. |
Created at: April 26, 2026, 10:10 p.m.