Triple
T23840232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austria–Italy |
E590965
|
entity |
| Predicate | overallRelationCharacter |
P89493
|
FINISHED |
| Object | generally friendly and cooperative |
—
|
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: generally friendly and cooperative | Statement: [Austria–Italy, overallRelationCharacter, generally friendly and cooperative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overallRelationCharacter Context triple: [Austria–Italy, overallRelationCharacter, generally friendly and cooperative]
-
A.
relationshipToCharacter
Indicates the specific type of personal, social, or narrative connection that one entity has to a given character.
-
B.
titleCharacterRelation
Indicates the relationship between a work’s title and a specific character it references or centers on.
-
C.
relatedCharacter
Indicates that one character has a specified relationship or association with another character.
-
D.
relationshipCharacterizedAs
chosen
Indicates that one relationship is described, defined, or typified in terms of another specified characteristic or relational type.
-
E.
relatedCharacterContext
Indicates a contextual relationship between characters, such as roles, interactions, or situational connections that link them within a specific narrative or setting.
- 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c886aab081909ad896abe383afb9 |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 8:08 p.m.