Triple
T11109602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grito de Yara |
E262719
|
entity |
| Predicate | typeOfDeclaration |
P97317
|
FINISHED |
| Object | call to arms |
—
|
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: call to arms | Statement: [Grito de Yara, typeOfDeclaration, call to arms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDeclaration Context triple: [Grito de Yara, typeOfDeclaration, call to arms]
-
A.
typeOfExpression
Indicates that one entity is classified as a specific kind or category of expression represented by the other entity.
-
B.
typeOfClause
Indicates the specific kind or category of clause that a given clause instance belongs to.
-
C.
typeOf
Indicates that one entity is a specific kind, class, or category instance of another more general entity.
-
D.
typeOfValue
Indicates that one entity specifies the kind or category of value associated with another entity.
-
E.
typeOfAnnotation
Indicates that one entity is an annotation and specifies the kind or category of that annotation in relation to the annotated item.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a6896c0819082685b5b4600d158 |
completed | April 9, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69d7441cf8188190b8095f622c923156 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750ca52ec8190a559432a5de106fd |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:27 p.m.