Triple
T19961987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cemetery of Zurich (project) |
E479836
|
entity |
| Predicate | reflectsInterestOfArchitect |
P102417
|
FINISHED |
| Object | urban form |
—
|
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: urban form | Statement: [Cemetery of Zurich (project), reflectsInterestOfArchitect, urban form]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reflectsInterestOfArchitect Context triple: [Cemetery of Zurich (project), reflectsInterestOfArchitect, urban form]
-
A.
architectEngaged
Indicates that an architect has been formally hired or contracted to provide architectural services for a project or client.
-
B.
hasRelationToArchitect
Indicates that one entity has a specified relationship or association with an architect.
-
C.
architecturalRole
Indicates the functional or design-related role that one entity plays within the structure, layout, or organization of another entity.
-
D.
architecturalCollaborator
Indicates a relationship where one entity works jointly with another on architectural design, planning, or related architectural activities.
-
E.
architecturalFocus
chosen
Indicates that something is the primary subject, theme, or area of emphasis within the domain of architecture.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af51b4c81909ba156a489cbc551 |
completed | April 20, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.