Triple
T2381940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mosaic Hall |
E46328
|
entity |
| Predicate | decorativeFeature |
P8228
|
FINISHED |
| Object | mosaics |
—
|
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: mosaics | Statement: [Mosaic Hall, decorativeFeature, mosaics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decorativeFeature Context triple: [Mosaic Hall, decorativeFeature, mosaics]
-
A.
featuresDecor
Indicates that one entity includes or showcases the decor elements provided or defined by another entity.
-
B.
decoration
Indicates that one entity serves as an ornament or embellishing element for another entity, enhancing its appearance or style.
-
C.
decorations
chosen
Indicates that one entity adds, provides, or serves as ornamental or decorative elements for another entity.
-
D.
decorativeProgram
Indicates a relationship where a program or plan is created or used primarily for decorative, aesthetic, or ornamental purposes rather than functional ones.
-
E.
relatedDecoration
Indicates that one decoration is associated with, complements, or is contextually linked to another decoration.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7b98c988190abdb4fe51bf65bde |
completed | March 7, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69abc59f73f08190924a36d7d475d8f4 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.