Triple
T9462966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmyrene Aramaic |
E228195
|
entity |
| Predicate | scriptVariants |
P51273
|
FINISHED |
| Object | cursive Palmyrene |
—
|
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: cursive Palmyrene | Statement: [Palmyrene Aramaic, scriptVariants, cursive Palmyrene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptVariants Context triple: [Palmyrene Aramaic, scriptVariants, cursive Palmyrene]
-
A.
scriptVariantOf
chosen
Indicates that one script is a variant or alternative form of another script, typically differing in style, region, or historical development while remaining closely related.
-
B.
scriptVariantLanguage
Indicates that a language is a variant distinguished by its writing system or script from another, related language form.
-
C.
exportVariantOf
Indicates that one entity is an exported version or externally released form derived from another, original entity.
-
D.
scriptFeature
Indicates that a script includes, supports, or is characterized by a particular feature or capability.
-
E.
designVariant
Indicates that one entity is an alternative design or version derived from or related to another entity’s design.
- 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_69ca846fee388190a6ec273fd644b88b |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fcd9794819093c392489d4efbe9 |
completed | April 1, 2026, 8:27 p.m. |
| PD | Predicate disambiguation | batch_69cca55caaa8819089c5138e014892d3 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:53 p.m.