Triple
T16583534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shexian dialect |
E402895
|
entity |
| Predicate | shiftTrend |
P34686
|
FINISHED |
| Object | younger generations increasingly using Mandarin |
—
|
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: younger generations increasingly using Mandarin | Statement: [Shexian dialect, shiftTrend, younger generations increasingly using Mandarin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shiftTrend Context triple: [Shexian dialect, shiftTrend, younger generations increasingly using Mandarin]
-
A.
marksShiftToward
chosen
Indicates a change or transition from one state, condition, or position toward another, highlighting the direction or trend of that shift.
-
B.
hasTrend
Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
-
C.
reversedTrendOf
Indicates that one trend is the inverse or opposite-direction counterpart of another trend, such that when one increases or moves in a certain direction, the other correspondingly decreases or moves in the opposite direction.
-
D.
trends
Indicates that one entity exhibits a general direction of change or development over time in relation to another reference or context.
-
E.
shiftsWhen
Indicates that one state, condition, or configuration changes to another under specified circumstances or triggers.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35999f80c8190852fd4137bc45a80 |
completed | April 18, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e296a7d9d0819088555bca6c936e79 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.