Triple
T35707359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DIN 31635 Umschrift des arabischen Alphabets |
E1031754
|
entity |
| Predicate | scriptTranscribedTo |
P175238
|
FINISHED |
| Object | Latin alphabet |
—
|
NE NERFINISHED |
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: Latin alphabet | Statement: [DIN 31635 Umschrift des arabischen Alphabets, scriptTranscribedTo, Latin alphabet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptTranscribedTo Context triple: [DIN 31635 Umschrift des arabischen Alphabets, scriptTranscribedTo, Latin alphabet]
-
A.
scriptTranscribedFrom
Indicates that a written script is a transcription derived from another source, such as audio, video, or a different script.
-
B.
alsoTranscribes
Indicates that an entity, in addition to its primary transcription role, transcribes another specified entity as well.
-
C.
isTranscriptionOf
Indicates that one entity is a written, typed, or otherwise recorded representation of the content of another entity, preserving its original form as closely as possible.
-
D.
transcribedFrom
Indicates that one entity is a written, typed, or otherwise recorded representation produced by converting the content of another entity from its original form.
-
E.
scriptConversionSystem
chosen
Indicates a system or process that converts text from one writing script to another.
- 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: May 3, 2026, 4:05 p.m.