Triple
T2950527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scanian dialect |
E79808
|
entity |
| Predicate | lessCommonIn |
P19183
|
FINISHED |
| Object | formal writing |
—
|
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: formal writing | Statement: [Scanian dialect, lessCommonIn, formal writing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lessCommonIn Context triple: [Scanian dialect, lessCommonIn, formal writing]
-
A.
commonIn
Indicates that something frequently occurs, appears, or is found within a specified context, group, or environment.
-
B.
isLessCommonThan
chosen
Indicates that one item occurs, appears, or is observed less frequently than another item.
-
C.
moreCommonIn
Indicates that something occurs with greater frequency or prevalence in one group, context, or location than in another.
-
D.
commonFor
Indicates that something is typical, usual, or frequently occurring for a given entity or context.
-
E.
isCommonlyDefinedBy
Indicates that something is typically or most frequently characterized, specified, or described by a particular definition, property, or set of criteria.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98fbb7d4819081c241f3ff9165e5 |
completed | March 8, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69ad960a70ac8190816b5ae3e8631031 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:57 p.m.