Triple
T31857463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khalaj language |
E813235
|
entity |
| Predicate | youngerGenerationShift |
P94444
|
FINISHED |
| Object | Persian |
—
|
NE NERFINISHED |
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: Persian | Statement: [Khalaj language, youngerGenerationShift, Persian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youngerGenerationShift Context triple: [Khalaj language, youngerGenerationShift, Persian]
-
A.
youngerGenerationFluency
Indicates that members of a younger generation possess greater fluency (e.g., in a language, skill, or practice) compared to older generations.
-
B.
replacedByForYoungerPeople
Indicates that something has been superseded or substituted by another specifically for use by younger people.
-
C.
ageOfDisruption
Indicates a temporal relationship specifying the period or point in time during which a disruption occurs or is in effect.
-
D.
youngerSpeakersTrend
chosen
Indicates a trend or pattern in which younger speakers increasingly use, adopt, or influence a particular linguistic feature or behavior over time.
-
E.
youngerTowards
Indicates that one entity is younger in age relative to 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_69f348ebf32881908d9439646933dc76 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b06b872481908372becd54a1792e |
completed | May 3, 2026, 2:18 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:52 p.m.