Triple
T14607474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sulaymaniyah Museum |
E342869
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | museum in Iraq |
C35134
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: museum in Iraq Context triple: [Sulaymaniyah Museum, instanceOf, museum in Iraq]
-
A.
museum in Israel
A museum in Israel is a cultural institution that collects, preserves, researches, and exhibits artifacts, artworks, and historical materials related to Israeli society, regional history, and global heritage for public education and enrichment.
-
B.
museum in Turkey
A museum in Turkey is a cultural institution that collects, preserves, and exhibits artifacts, artworks, and historical objects related to Turkey’s rich archaeological, artistic, and social heritage for public education and appreciation.
-
C.
museum in Poland
A museum in Poland is a cultural institution that collects, preserves, researches, and exhibits artifacts and artworks related to Polish and global history, art, science, and heritage for public education and enrichment.
-
D.
museum in Romania
A museum in Romania is a cultural institution that collects, preserves, researches, and exhibits artifacts and artworks related to Romanian history, art, science, and heritage for public education and enjoyment.
-
E.
museum in Ukraine
A museum in Ukraine is a cultural institution that collects, preserves, researches, and exhibits artifacts and artworks related to Ukrainian history, art, science, and heritage for public education and enrichment.
- F. None of above. chosen
Provenance (1 batch)
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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 10, 2026, 1:25 a.m.