Triple
T13223941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Istriot |
E314824
|
entity |
| Predicate | shiftTendency |
P34686
|
FINISHED |
| Object | language shift toward Croatian and Italian |
—
|
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: language shift toward Croatian and Italian | Statement: [Istriot, shiftTendency, language shift toward Croatian and Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shiftTendency Context triple: [Istriot, shiftTendency, language shift toward Croatian and Italian]
-
A.
hasTendency
Indicates that an entity is inclined or likely to exhibit a particular behavior, characteristic, or outcome under certain conditions.
-
B.
marksShiftToward
chosen
Indicates a change or transition from one state, condition, or position toward another, highlighting the direction or trend of that shift.
-
C.
hasTonalityShift
Indicates a change in the tonal quality, mood, or key within a piece or segment, marking a shift from one tonality to another.
-
D.
arity
Indicates the number of arguments or participants that a relation or function takes.
-
E.
shiftedUnder
Indicates that one entity has been moved or displaced to a position beneath another entity.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf74d708190a61d8ad938653b06 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc938f081909f123bdf1263ff7f |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:19 p.m.