Triple
T28607680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seoul Station City Tower |
E724096
|
entity |
| Predicate | hasArchitectOfRecord |
P174050
|
FINISHED |
| Object | Kohn Pedersen Fox |
—
|
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: Kohn Pedersen Fox | Statement: [Seoul Station City Tower, hasArchitectOfRecord, Kohn Pedersen Fox]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArchitectOfRecord Context triple: [Seoul Station City Tower, hasArchitectOfRecord, Kohn Pedersen Fox]
-
A.
hasRelationToArchitect
Indicates that one entity has a specified relationship or association with an architect.
-
B.
hasArchitectRole
Indicates that an entity holds or fulfills the role or function of an architect in relation to another entity or project.
-
C.
hasArchitectNotability
Indicates that an entity is notable or recognized specifically for its work or role as an architect.
-
D.
isArchitectDesigned
chosen
Indicates that something was created or planned by a professional architect.
-
E.
coArchitectOf
Indicates a relationship where two or more entities jointly serve as architects of the same project, design, or 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
Created at: April 28, 2026, 4:28 a.m.