Triple
T19308612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megale Syntaxis |
E482906
|
entity |
| Predicate | LatinNameOrigin |
P64092
|
FINISHED |
| Object | from Arabic al-Majisti |
—
|
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: from Arabic al-Majisti | Statement: [Megale Syntaxis, LatinNameOrigin, from Arabic al-Majisti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LatinNameOrigin Context triple: [Megale Syntaxis, LatinNameOrigin, from Arabic al-Majisti]
-
A.
speciesNameMeaning
Indicates the meaning or etymological sense of a species’ scientific name.
-
B.
binomialNomenclatureLanguage
Indicates the language in which a taxon's binomial (scientific) name is expressed.
-
C.
possibleNameEtymology
chosen
Indicates a hypothesized or suggested origin or derivation of an entity’s name from another term, source, or linguistic root.
-
D.
nameEtymologyFor
Indicates that one entity expresses or explains the origin or derivation of the name of another entity.
-
E.
hasLatinName
Indicates that an entity is associated with a specific Latin (scientific) name.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604cb47c88190bd01e6f5f4d2204f |
completed | April 20, 2026, 10:49 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:32 p.m.