Triple
T30583992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Festival of Lights (Myanmar) |
E778454
|
entity |
| Predicate | publicSpacesDecorated |
P114361
|
FINISHED |
| Object | streets |
—
|
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: streets | Statement: [Festival of Lights (Myanmar), publicSpacesDecorated, streets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicSpacesDecorated Context triple: [Festival of Lights (Myanmar), publicSpacesDecorated, streets]
-
A.
interiorDecoratedBy
Indicates that the interior of a space or structure has been designed or decorated by a specific agent or entity.
-
B.
decorationDesigner
Indicates that one entity is the person or agent responsible for designing the decoration of another entity.
-
C.
exhibitionSpaceTreatment
Indicates how an exhibition space is arranged, designed, or modified to present or support what is being exhibited.
-
D.
typicalDecorationPlacement
chosen
Indicates the usual or most common spatial arrangement where a decoration is placed relative to another object or environment.
-
E.
decorativeCategory
Indicates that one entity is classified as belonging to a particular decorative style, theme, or ornamentation category 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_69f224a04b248190b0ca443ec86207b8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
Created at: April 29, 2026, 8:23 p.m.