Triple
T34241682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mannen på balkongen (1993 film) |
E878483
|
entity |
| Predicate | policeUnitFeatured |
P22894
|
FINISHED |
| Object | Swedish National Police |
—
|
NE NERFINISHED |
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 National Police | Statement: [Mannen på balkongen (1993 film), policeUnitFeatured, Swedish National Police]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policeUnitFeatured Context triple: [Mannen på balkongen (1993 film), policeUnitFeatured, Swedish National Police]
-
A.
policeUnit
Indicates that one entity is a police unit (such as a department, squad, or division) associated with or responsible for another entity.
-
B.
policeForceCharacteristic
Indicates that a specified characteristic, quality, or attribute is associated with a particular police force.
-
C.
policeUnitHoused
Indicates that a particular police unit is based, stationed, or accommodated within a specific facility or location.
-
D.
policeCharacter
Indicates that one entity serves as a police officer or law-enforcement figure in relation to another entity.
-
E.
featuredUnitType
chosen
Indicates that a particular unit type is highlighted or given special prominence relative to other unit types.
- 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_69f349b22d8c819096b22df268382aa9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 1, 2026, 1:56 a.m.