Triple
T31990573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Säynätsalo |
E816855
|
entity |
| Predicate | hasArchitectForTownHall |
P85568
|
FINISHED |
| Object | Alvar Aalto |
—
|
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: Alvar Aalto | Statement: [Municipality of Säynätsalo, hasArchitectForTownHall, Alvar Aalto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArchitectForTownHall Context triple: [Municipality of Säynätsalo, hasArchitectForTownHall, Alvar Aalto]
-
A.
hasTownHallIn
Indicates that an entity possesses or is associated with a town hall located in a specified place.
-
B.
hasArchitectRole
chosen
Indicates that an entity holds or fulfills the role or function of an architect in relation to another entity or project.
-
C.
hasClubhouseArchitect
Indicates that an entity’s clubhouse was designed or planned by a specified architect.
-
D.
hasRelationToArchitect
Indicates that one entity has a specified relationship or association with an architect.
-
E.
hasTownManager
Indicates that a town is administered or overseen by a specific town manager.
- 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_69f348f8002081909a3588758ba94afb |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: May 1, 2026, 12:13 a.m.