Triple
T20576929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freden i Nystad |
E505241
|
entity |
| Predicate | språkISlutdokument |
P17914
|
FINISHED |
| Object | latin |
—
|
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: latin | Statement: [Freden i Nystad, språkISlutdokument, latin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: språkISlutdokument Context triple: [Freden i Nystad, språkISlutdokument, latin]
-
A.
languageOfDocumentation
Indicates the language in which the documentation for an entity is written or provided.
-
B.
isLanguageOf
Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
-
C.
languageOfWritings
chosen
Indicates that a specified language is the one in which certain writings or written works are composed.
-
D.
languageFamilyDocumented
Indicates that there exists documentation or records describing the language family to which the entity’s language belongs.
-
E.
languageAttestedIn
Indicates that evidence exists showing the use or presence of a particular language in a specified place, time, or context.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90af3608190955d2c7950726178 |
completed | April 20, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:39 a.m.