Triple
T7556827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franco-Russian Alliance |
E178686
|
entity |
| Predicate | typeOfMutualAssistance |
P9451
|
FINISHED |
| Object | defensive military support |
—
|
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: defensive military support | Statement: [Franco-Russian Alliance, typeOfMutualAssistance, defensive military support]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMutualAssistance Context triple: [Franco-Russian Alliance, typeOfMutualAssistance, defensive military support]
-
A.
cooperationType
Indicates the specific kind or form of cooperative relationship that exists between the related entities.
-
B.
definesCooperationWith
Indicates that one entity formally specifies or establishes the terms, scope, or nature of cooperative interaction with another entity.
-
C.
allianceType
chosen
Indicates the specific kind or category of alliance relationship that exists between entities.
-
D.
typeOfVolunteerUnit
Indicates that one entity is a specific kind or category of volunteer unit in relation to another entity.
-
E.
coalitionType
Indicates the specific kind or category of coalition relationship that exists between the involved entities.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8d9ebe48190a08110695ce1eb55 |
completed | March 27, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69c6f4dc485c819080da13e3b7f4f08f |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:50 p.m.