Triple
T10005886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elle Sweden |
E198239
|
entity |
| Predicate | contentTailoredTo |
P83197
|
FINISHED |
| Object | Swedish culture |
—
|
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: Swedish culture | Statement: [Elle Sweden, contentTailoredTo, Swedish culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contentTailoredTo Context triple: [Elle Sweden, contentTailoredTo, Swedish culture]
-
A.
hasContentTailoredTo
chosen
Indicates that something (such as a message, product, or experience) has its content specifically adapted or customized to suit a particular target, context, or audience.
-
B.
curatesContentFrom
Indicates that one entity selects, organizes, and presents content that originates from another entity.
-
C.
contentTypesRecommended
Indicates that certain types of content are suggested or recommended in relation to a given entity or context.
-
D.
primaryContent
Indicates that one entity serves as the main or most important content associated with another entity.
-
E.
regulatesContentFor
Indicates that one entity controls, manages, or sets rules governing the content produced, shared, or accessed by 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd157d9c8190b863e4264f9a48b1 |
completed | April 2, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69cd1da2cf9081908a6c0eb5247d0bc2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:51 p.m.