Triple
T18455263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanna Marin |
E450887
|
entity |
| Predicate | mayorOrDeputyMayorOf |
P101102
|
FINISHED |
| Object | Tampere (Deputy Mayor) |
—
|
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: Tampere (Deputy Mayor) | Statement: [Sanna Marin, mayorOrDeputyMayorOf, Tampere (Deputy Mayor)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayorOrDeputyMayorOf Context triple: [Sanna Marin, mayorOrDeputyMayorOf, Tampere (Deputy Mayor)]
-
A.
mayorAppointment
Indicates that one entity appoints or designates another entity to serve in the role of mayor.
-
B.
hasViceMayor
chosen
Indicates that an entity holds the position of vice mayor for a given administrative or governmental body.
-
C.
hasMayor
Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
-
D.
mayorSelection
Indicates the process or outcome of choosing or appointing someone to serve as mayor of a place.
-
E.
mayorRoleTypically
Indicates that the specified role or position is typically held by, or commonly associated with, a mayor.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5264c10408190b2085ade88655c7d |
completed | April 19, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:31 a.m.