Triple
T25156335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fidel Castro memorial stone |
E626323
|
entity |
| Predicate | memorializedPersonBirthYear |
P21141
|
FINISHED |
| Object | 1926 |
—
|
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: 1926 | Statement: [Fidel Castro memorial stone, memorializedPersonBirthYear, 1926]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memorializedPersonBirthYear Context triple: [Fidel Castro memorial stone, memorializedPersonBirthYear, 1926]
-
A.
commemoratesPersonBirthYear
chosen
Indicates that something is intended to honor or mark the year in which a specific person was born.
-
B.
commemoratedPerson
Indicates that the subject serves as a memorial or tribute to the referenced person.
-
C.
commemoratesPersonDeathYear
Indicates that something marks, honors, or is associated with the year in which a specific person died.
-
D.
memorialOpenedInYear
Indicates that a memorial was officially opened or inaugurated in a specified calendar year.
-
E.
commemoratedPersonNationality
Indicates the nationality of the person who is being commemorated.
- 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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f46d3f35848190b56a4373c97a7d64 |
completed | May 1, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 6:30 a.m.