Triple
T13444838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Page Ayres Cowley Architects |
E320452
|
entity |
| Predicate | hasProjectCategory |
P82611
|
FINISHED |
| Object | civic buildings |
—
|
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: civic buildings | Statement: [Page Ayres Cowley Architects, hasProjectCategory, civic buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProjectCategory Context triple: [Page Ayres Cowley Architects, hasProjectCategory, civic buildings]
-
A.
hasProgramCategory
Indicates that a program is classified under a specific category or type of program.
-
B.
hasProject
Indicates that an entity is associated with or responsible for a particular project.
-
C.
hasCategories
chosen
Indicates that an entity is associated with one or more categories that classify or group it.
-
D.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
E.
hasProjectIn
Indicates that an entity is involved with or associated with a project that takes place within a specified location or context.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaef5f610819092cad33ef72075ff |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03ce03481908c61094f0cc0c158 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:40 p.m.