Triple
T21731337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Film i Väst AB |
E536410
|
entity |
| Predicate | hasFormatFocus |
P109060
|
FINISHED |
| Object | cinema releases |
—
|
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: cinema releases | Statement: [Film i Väst AB, hasFormatFocus, cinema releases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormatFocus Context triple: [Film i Väst AB, hasFormatFocus, cinema releases]
-
A.
focusesOnFormat
chosen
Indicates that something concentrates its attention or effort specifically on the structure, style, or presentation format of another entity.
-
B.
hasFocusText
Indicates that one entity provides the primary or highlighted textual content associated with another entity.
-
C.
hasFormatCurrent
Indicates that an entity is available or expressed in the currently used or most up-to-date format.
-
D.
hasCharacterFocus
Indicates that a work, scene, or segment centers primarily on a particular character’s experiences, perspective, or development.
-
E.
hasFocusMethod
Indicates that an entity employs a particular method or approach to direct or manage focus or attention.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd0713c48190a38b3963cb3cbaf0 |
completed | April 28, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:48 p.m.