Triple
T13084811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hornbergs strand |
E310302
|
entity |
| Predicate | strandMeans |
P56477
|
FINISHED |
| Object | beach or shore in Swedish |
—
|
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: beach or shore in Swedish | Statement: [Hornbergs strand, strandMeans, beach or shore in Swedish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strandMeans Context triple: [Hornbergs strand, strandMeans, beach or shore in Swedish]
-
A.
hasMean
Indicates that one entity possesses, exhibits, or is characterized by a particular mean value or average.
-
B.
seiMeans
chosen
Indicates that one entity serves as the meaning, definition, or semantic content of another entity.
-
C.
strataAre
Indicates that one or more entities are classified as geological or structural layers (strata) in relation to something else.
-
D.
medianEquals
Indicates that the median value of a given set or sequence is equal to a specified value.
-
E.
MacMeans
Indicates that one entity serves as the meaning, definition, or semantic interpretation of 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d981361e8c819099376435aa3a7aa3 |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d9803f6c508190bfadfbc2d00c2c64 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:02 p.m.