Triple
T21593701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Saudi Arabia |
E532842
|
entity |
| Predicate | reverseTextOrientation |
P1465
|
FINISHED |
| Object | correctly oriented |
—
|
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: correctly oriented | Statement: [Flag of Saudi Arabia, reverseTextOrientation, correctly oriented]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reverseTextOrientation Context triple: [Flag of Saudi Arabia, reverseTextOrientation, correctly oriented]
-
A.
translationDirection
Indicates the source and target languages involved in a translation, specifying the direction from the original language to the translated language.
-
B.
reverseInscription
chosen
Indicates that one entity is inscribed as the reverse or mirror image of another entity’s inscription.
-
C.
styleOrientation
Indicates the general stylistic direction or aesthetic approach that characterizes how something is designed, presented, or expressed.
-
D.
exportOrientation
Indicates that an entity’s activities, production, or strategy are primarily directed toward serving foreign or international markets rather than domestic ones.
-
E.
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).
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefadf6e608190b42b26ea22c76ec6 |
completed | April 27, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69e632109d048190b4ac3f14fe48d1a0 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:32 p.m.