Triple
T1029046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafael Casanova |
E22206
|
entity |
| Predicate | memorialPractice |
P500
|
FINISHED |
| Object | floral offerings at his monument on Catalonia’s National Day |
—
|
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: floral offerings at his monument on Catalonia’s National Day | Statement: [Rafael Casanova, memorialPractice, floral offerings at his monument on Catalonia’s National Day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memorialPractice Context triple: [Rafael Casanova, memorialPractice, floral offerings at his monument on Catalonia’s National Day]
-
A.
memorialType
Indicates the specific kind or category of memorial associated with an entity (e.g., plaque, statue, monument).
-
B.
hasMemorial
Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
-
C.
memorialLocatedAt
Indicates that a memorial is situated or found at a specific location.
-
D.
commemoratedBy
chosen
Indicates that something is honored, remembered, or celebrated through a particular action, event, object, or representation.
-
E.
burialPractice
Indicates the customary methods, rituals, or procedures a group uses to bury or inter their dead.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b95d35888190a20593a278175df7 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b7276180819085c6b23501a6a6e0 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.