Triple
T27811043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurebesh |
E702518
|
entity |
| Predicate | transliterationRelation |
P182221
|
FINISHED |
| Object | one-to-one mapping with Latin letters in most versions |
—
|
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: one-to-one mapping with Latin letters in most versions | Statement: [Aurebesh, transliterationRelation, one-to-one mapping with Latin letters in most versions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transliterationRelation Context triple: [Aurebesh, transliterationRelation, one-to-one mapping with Latin letters in most versions]
-
A.
alternativeTransliteration
Indicates that one written form represents an alternative way of transliterating the same original text or name into another script or orthography.
-
B.
transliterationType
Indicates the specific system or method used to convert text from one writing system into another using corresponding characters.
-
C.
hasTransliterationRole
Indicates that an entity participates in a transliteration process with a specific role (e.g., source, target, or agent of transliteration).
-
D.
transliterationName
Indicates that one entity is the transliterated form of another entity’s name from one writing system into another.
-
E.
transliterationTarget
Indicates that one entity is the target script or form into which another entity is transliterated.
- F. None of above. chosen
Provenance (4 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_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7886b27f08190ab4580f949222c93 |
completed | May 3, 2026, 5:39 p.m. |
Created at: April 27, 2026, 5:42 p.m.