Triple
T15803607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Early Modern Spanish |
E383156
|
entity |
| Predicate | grammaticalChange |
P4412
|
FINISHED |
| Object | decline of synthetic future subjunctive |
—
|
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: decline of synthetic future subjunctive | Statement: [Early Modern Spanish, grammaticalChange, decline of synthetic future subjunctive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grammaticalChange Context triple: [Early Modern Spanish, grammaticalChange, decline of synthetic future subjunctive]
-
A.
sentenceModification
Indicates that one sentence alters, qualifies, or elaborates on the meaning, structure, or content of another sentence.
-
B.
lexicalChange
Indicates a relationship where one linguistic form is replaced, modified, or evolves into another form over time or across language varieties.
-
C.
grammaticalForm
Indicates the specific grammatical structure or morphological form that an expression or word takes in a given linguistic context.
-
D.
languageReform
Indicates efforts or actions aimed at changing, standardizing, or improving aspects of a language, such as its spelling, grammar, or usage rules.
-
E.
grammaticalStructure
chosen
Indicates the way linguistic elements are organized and related within a sentence or phrase according to grammatical rules.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b524835c8190ae286b2562f07756 |
completed | April 16, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:48 a.m.