Triple
T33449984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Saxony-Anhalt |
E856608
|
entity |
| Predicate | scriptDirectionOfInscription |
P3658
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [Flag of Saxony-Anhalt, scriptDirectionOfInscription, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptDirectionOfInscription Context triple: [Flag of Saxony-Anhalt, scriptDirectionOfInscription, none]
-
A.
scriptOfInscription
Indicates the writing system or script in which a given inscription is written.
-
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.
scriptDirectionOnOrnaments
Indicates the direction in which script or writing is oriented or arranged on decorative ornaments.
-
D.
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).
-
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_69f3497281a08190b4705de0b5f26ba7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 1, 2026, 1:37 a.m.