Triple
T126457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vulgar Latin |
E2560
|
entity |
| Predicate | lexicalChange |
P6522
|
FINISHED |
| Object | replacement of many Classical Latin words with new formations or borrowings |
—
|
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: replacement of many Classical Latin words with new formations or borrowings | Statement: [Vulgar Latin, lexicalChange, replacement of many Classical Latin words with new formations or borrowings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lexicalChange Context triple: [Vulgar Latin, lexicalChange, replacement of many Classical Latin words with new formations or borrowings]
-
A.
languageShift
Indicates a change in the primary language used by an entity, such as switching from one language to another over time or in a given context.
-
B.
synonym
Indicates that two terms have the same or nearly the same meaning in a given context.
-
C.
variant
Indicates that one entity is an alternative form, version, or variation of another entity.
-
D.
coinedTerm
Indicates that an entity originated and introduced a particular term or expression into use.
-
E.
ally
Indicates a cooperative relationship in which one entity supports, assists, or aligns with another, often for mutual benefit or a shared goal.
- 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_69a251b54ea88190b18281669f59b4c0 |
completed | Feb. 28, 2026, 2:23 a.m. |
| NER | Named-entity recognition | batch_69a25761e9248190a7205bfc36cb5c45 |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a2564c11208190ad25495609d94d87 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2575d8a648190ad8e10d4b04e5e07 |
completed | Feb. 28, 2026, 2:47 a.m. |
Created at: Feb. 28, 2026, 2:27 a.m.