Triple
T28359173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danubian front of the Crimean War |
E718315
|
entity |
| Predicate | mainOpposingForces |
P138442
|
FINISHED |
| Object | Russian forces vs Ottoman forces |
—
|
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: Russian forces vs Ottoman forces | Statement: [Danubian front of the Crimean War, mainOpposingForces, Russian forces vs Ottoman forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainOpposingForces Context triple: [Danubian front of the Crimean War, mainOpposingForces, Russian forces vs Ottoman forces]
-
A.
opposingForce
Indicates a relationship where one entity actively resists, counters, or works against the actions, goals, or influence of another entity.
-
B.
opposingForcesStatus
Indicates the current state or condition of two or more forces that are in conflict or opposition to each other.
-
C.
opposedForcesUsers
Indicates a relationship where users are aligned with or represent opposing forces or sides in a conflict, competition, or struggle.
-
D.
primaryOpposingForceSize
Indicates the size or magnitude of the main opposing force acting against a subject in a given context.
-
E.
opposingUnits
chosen
Indicates that two units are in opposition to each other, such as being on rival sides, conflicting forces, or competing entities within a given 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_69eff6ed5af48190be4e0adf298223e0 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64e37f7fc819083809149b6661e3c |
completed | May 2, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 12:51 a.m.