Triple
T5422500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy of the Bran |
E121284
|
entity |
| Predicate | typeOfDictionary |
P4224
|
FINISHED |
| Object | historical dictionary of the Italian language |
—
|
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: historical dictionary of the Italian language | Statement: [Academy of the Bran, typeOfDictionary, historical dictionary of the Italian language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDictionary Context triple: [Academy of the Bran, typeOfDictionary, historical dictionary of the Italian language]
-
A.
hasDictionaryType
Indicates that something is associated with or classified under a specific dictionary-defined type or category.
-
B.
typeOf
chosen
Indicates that one entity is a specific kind, class, or category instance of another more general entity.
-
C.
hasDictionary
Indicates that one entity possesses, includes, or is associated with a dictionary resource.
-
D.
typeOfValue
Indicates that one entity specifies the kind or category of value associated with another entity.
-
E.
definitionType
Indicates the specific kind or category of definition that characterizes how one entity is defined in relation to another.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87ec45c48190a8a25bf582b02440 |
completed | March 20, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69bd8469f5e48190bbe5c8bdfe8925ea |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:06 p.m.