Triple
T30896831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Safavid royal court |
E787042
|
entity |
| Predicate | architecturalCenter |
P7503
|
FINISHED |
| Object | Ali Qapu Palace |
—
|
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: Ali Qapu Palace | Statement: [Safavid royal court, architecturalCenter, Ali Qapu Palace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: architecturalCenter Context triple: [Safavid royal court, architecturalCenter, Ali Qapu Palace]
-
A.
architecturalFocus
Indicates that something is the primary subject, theme, or area of emphasis within the domain of architecture.
-
B.
architecturalComplex
Indicates a relationship where multiple architectural structures or elements are grouped and function together as a single, integrated complex.
-
C.
architecturalConcept
Indicates that one entity represents or embodies an architectural concept in relation to another entity.
-
D.
architecturalWork
chosen
Indicates that one entity is an architectural creation (such as a building or structure) designed or realized by another entity.
-
E.
architecturalPlanner
Indicates a relationship where an entity is responsible for designing, organizing, or planning the architectural structure or layout of another entity.
- 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_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: April 29, 2026, 8:49 p.m.