Triple
T18940118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russia–Georgia Friendship Monument |
E463357
|
entity |
| Predicate | muralColor |
P133879
|
FINISHED |
| Object | colorful |
—
|
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: colorful | Statement: [Russia–Georgia Friendship Monument, muralColor, colorful]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: muralColor Context triple: [Russia–Georgia Friendship Monument, muralColor, colorful]
-
A.
muralsStyle
Indicates that one entity is a mural whose artistic style or aesthetic is characterized by, derived from, or associated with the other entity.
-
B.
areaOfMurals
Indicates the geographic or spatial area within which the murals are located or distributed.
-
C.
hasMuralsFrom
Indicates that a location or structure contains murals that originate from or were created in a specified place or time period.
-
D.
hasMuralsDepicting
Indicates that one entity contains or features murals that visually represent or portray another entity.
-
E.
buildingColor
Indicates the color or predominant exterior hue associated with a building.
- F. None of above. chosen
Provenance (4 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3eae9b88190b6031c359090782a |
completed | April 20, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69e4a2efec5c8190840704016bf547a1 |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 11:59 a.m.