Triple
T31426708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third Deputy Speaker of the Riksdag |
E801682
|
entity |
| Predicate | numberOfDeputySpeakers |
P80248
|
FINISHED |
| Object | three |
—
|
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: three | Statement: [Third Deputy Speaker of the Riksdag, numberOfDeputySpeakers, three]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDeputySpeakers Context triple: [Third Deputy Speaker of the Riksdag, numberOfDeputySpeakers, three]
-
A.
hasNumberOfDeputies
chosen
Indicates the specific count of deputies associated with or assigned to an entity.
-
B.
deputySpeaker
Indicates that one entity serves as the deputy or vice speaker (second-in-command presiding officer) in relation to a legislative or deliberative body.
-
C.
hasDeputyHeads
Indicates that an entity has one or more individuals serving in subordinate leadership roles as deputy heads.
-
D.
numberOfDelegates
Indicates the quantity of delegates associated with or assigned to a particular entity or event.
-
E.
orderOfDeputies
Indicates the hierarchical sequence or ranking of deputies within a governing or organizational structure.
- 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_69f348c26f048190b4adadd71b4596c5 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a00d8ba18808190976682088a02a9a8 |
completed | May 10, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_6a00d85fad64819084f424ec8ecd3b57 |
completed | May 10, 2026, 7:11 p.m. |
Created at: April 30, 2026, 8:53 p.m.