Triple
T19760023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bagration fleches area |
E474601
|
entity |
| Predicate | conflictOutcome |
P21116
|
FINISHED |
| Object | eventual French capture of the fleches |
—
|
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: eventual French capture of the fleches | Statement: [Bagration fleches area, conflictOutcome, eventual French capture of the fleches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conflictOutcome Context triple: [Bagration fleches area, conflictOutcome, eventual French capture of the fleches]
-
A.
partOfConflictOutcome
Indicates that one entity represents a specific component or aspect of the overall outcome of a conflict involving another entity.
-
B.
conflictResult
chosen
Indicates the outcome or consequence that arises from a particular conflict between entities.
-
C.
outcomeOf
Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
-
D.
conflictResolvedBy
Indicates that a conflict or dispute is settled or addressed through the actions, decisions, or intervention of a specified entity or process.
-
E.
endedConflict
Indicates that a previously ongoing conflict between entities has been brought to an end.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6531e79fc819094a9f88182e90dab |
completed | April 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69e5305016e08190b9561a96baecb0b8 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:48 p.m.