Triple
T13181797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norrland dialects |
E313746
|
entity |
| Predicate | areDistinctBecauseOf |
P18160
|
FINISHED |
| Object | phonological features differing from central Swedish varieties |
—
|
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: phonological features differing from central Swedish varieties | Statement: [Norrland dialects, areDistinctBecauseOf, phonological features differing from central Swedish varieties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areDistinctBecauseOf Context triple: [Norrland dialects, areDistinctBecauseOf, phonological features differing from central Swedish varieties]
-
A.
isDistinctFrom
Indicates that two entities are not identical and can be clearly distinguished from one another.
-
B.
hasDistinctIdentity
Indicates that an entity possesses its own unique, distinguishable identity separate from other entities.
-
C.
hasDistinctFeature
chosen
Indicates that an entity possesses a specific characteristic or attribute that differentiates it from others.
-
D.
differIn
Indicates that two entities are not the same in at least one specified aspect, attribute, or value.
-
E.
hasDistinctLettersFor
Indicates that one entity is associated with another such that the letters used in the first are all different from (i.e., share no letters with) those used in the second.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc2c0c88190be357811aa8e828d |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:15 p.m.