Triple
T16363293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kigali Genocide Memorial |
E397369
|
entity |
| Predicate | hasGardenOfRemembrance |
P78565
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Kigali Genocide Memorial, hasGardenOfRemembrance, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGardenOfRemembrance Context triple: [Kigali Genocide Memorial, hasGardenOfRemembrance, yes]
-
A.
hasMemorial
Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
-
B.
hasGraveOrMemorialOf
chosen
Indicates that a location or object serves as the grave or memorial site dedicated to a particular person or entity.
-
C.
hasAdjacentMemorial
Indicates that one memorial is located directly next to or in close proximity to another memorial.
-
D.
hasMemorialContext
Indicates that something is related to, associated with, or situated within the context of a memorial or commemorative setting.
-
E.
hasCemetery
Indicates that one entity possesses, contains, or includes a cemetery associated with it.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff3aada88190a6e01f04c494a6ac |
completed | April 18, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69e226f37ecc819082af58b29b4e39d1 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:08 a.m.