Triple
T26807029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master Architect of the Royal Works |
E671864
|
entity |
| Predicate | typicalWorkProduct |
P67599
|
FINISHED |
| Object | architectural designs for royal 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: architectural designs for royal buildings | Statement: [Master Architect of the Royal Works, typicalWorkProduct, architectural designs for royal buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalWorkProduct Context triple: [Master Architect of the Royal Works, typicalWorkProduct, architectural designs for royal buildings]
-
A.
hasWorkProduct
chosen
Indicates that one entity produces, creates, or is responsible for a particular work product or output associated with it.
-
B.
typicalProductionType
Indicates the usual or characteristic type of production activity associated with an entity.
-
C.
productTypeWorkedOn
Indicates that an entity has worked on or been involved in creating, developing, or handling a particular type of product.
-
D.
worksTo
Indicates that one entity performs work or exerts effort in order to achieve, support, or contribute to another entity or outcome.
-
E.
typicalItem
Indicates that an item is a representative or characteristic example of a broader category, class, or set.
- 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_69eeb3225a3c8190aaf6746efeded2f3 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69ff0e9c75208190a4423261f00b79b3 |
completed | May 9, 2026, 10:38 a.m. |
| PD | Predicate disambiguation | batch_69ff0e07f08481909c4ae322632a6bf0 |
completed | May 9, 2026, 10:35 a.m. |
Created at: April 27, 2026, 4:27 a.m.