Triple
T11702250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riograndenser Hunsrückisch |
E278153
|
entity |
| Predicate | experiencesTrend |
P5318
|
FINISHED |
| Object | decline in intergenerational transmission |
—
|
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 in intergenerational transmission | Statement: [Riograndenser Hunsrückisch, experiencesTrend, decline in intergenerational transmission]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: experiencesTrend Context triple: [Riograndenser Hunsrückisch, experiencesTrend, decline in intergenerational transmission]
-
A.
trends
Indicates that one entity exhibits a general direction of change or development over time in relation to another reference or context.
-
B.
tourismTrend
Indicates how patterns or levels of tourism activity change over time or across locations.
-
C.
experiences
Indicates that an entity undergoes, feels, or is affected by a particular event, state, or condition.
-
D.
sharesExperiencesIn
Indicates that one entity communicates or participates in personal or relevant experiences within a particular context, setting, or medium with another entity.
-
E.
hasTrend
chosen
Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49b1080819096593733ee48a187 |
completed | April 10, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69d88a7b30948190b616a9db5c5488d5 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.