Triple
T32961059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Palace of Spiritual Arts |
E843237
|
entity |
| Predicate | buildingStyleOfVenue |
P607
|
FINISHED |
| Object | ornate movie palace |
—
|
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: ornate movie palace | Statement: [United Palace of Spiritual Arts, buildingStyleOfVenue, ornate movie palace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingStyleOfVenue Context triple: [United Palace of Spiritual Arts, buildingStyleOfVenue, ornate movie palace]
-
A.
buildingStyleOfChamber
Indicates the architectural style or design type associated with a particular chamber.
-
B.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
C.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
D.
architecturalStyle
chosen
Indicates the architectural design tradition, movement, or style that characterizes the form and appearance of a structure or built work.
-
E.
buildingTypeServed
Indicates the type of building that is served, supported, or catered to by a given entity or system.
- 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_69f3494af2808190ad98cec2f1bc0fe6 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:21 a.m.