Triple
T29386417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Deputy Speaker of the Parliament of Finland |
E745265
|
entity |
| Predicate | alongsideOffice |
P9115
|
FINISHED |
| Object | Speaker of the Parliament of Finland |
—
|
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: Speaker of the Parliament of Finland | Statement: [First Deputy Speaker of the Parliament of Finland, alongsideOffice, Speaker of the Parliament of Finland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alongsideOffice Context triple: [First Deputy Speaker of the Parliament of Finland, alongsideOffice, Speaker of the Parliament of Finland]
-
A.
otherOffice
chosen
Indicates that one office is an alternative or additional office associated with the same organization, person, or entity as another office.
-
B.
officeFounded
Indicates that an office or branch of an organization was established or created at a particular time or place.
-
C.
officeIsIn
Indicates that one office is located within or inside another specified place or building.
-
D.
officeIn
Indicates that one entity has an office located within the premises or jurisdiction of another entity.
-
E.
officeUnder
Indicates that one office is subordinate to, managed by, or organizationally within the authority of another office.
- 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_69f0a79cfd5481909b4dde750cb8d2c6 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669d1c0e481909cbbda806ac0ca28 |
completed | May 2, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 2:39 p.m.