Triple
T32023175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | collaborative work with Alvar Aalto |
E817747
|
entity |
| Predicate | hasRoleOfAlvarAalto |
P85568
|
FINISHED |
| Object | architect |
—
|
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: architect | Statement: [collaborative work with Alvar Aalto, hasRoleOfAlvarAalto, architect]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoleOfAlvarAalto Context triple: [collaborative work with Alvar Aalto, hasRoleOfAlvarAalto, architect]
-
A.
associatedWithAlvars
Indicates a relationship in which an entity is connected or related in some way to the Alvars (Tamil Vaishnavite poet-saints).
-
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.
aestheticRole
Indicates the role or function something has within an aesthetic or artistic context (e.g., as artwork, decoration, or design element).
-
D.
architecturalRole
Indicates the functional or design-related role that one entity plays within the structure, layout, or organization of another entity.
-
E.
hasCapitalRole
Indicates that an entity holds an official role, function, or status specifically associated with a capital city.
- 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_69f348fb04e4819081f4eab040ed7959 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
Created at: May 1, 2026, 12:17 a.m.