Triple
T3062632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Italo-Ethiopian War |
E62029
|
entity |
| Predicate | EthiopianForcesComposition |
P6154
|
FINISHED |
| Object | imperial army and regional levies |
—
|
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: imperial army and regional levies | Statement: [First Italo-Ethiopian War, EthiopianForcesComposition, imperial army and regional levies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EthiopianForcesComposition Context triple: [First Italo-Ethiopian War, EthiopianForcesComposition, imperial army and regional levies]
-
A.
armedForcesInvolved
Indicates that the relationship or event involves the participation or presence of military or armed forces.
-
B.
commandedForcesOf
Indicates that one entity held command authority over the military or armed forces associated with another entity.
-
C.
typeOfTroops
chosen
Indicates the specific category or kind of military forces involved in or associated with an entity or event.
-
D.
alliedForcesComposition
Indicates the makeup and relative proportions of different military or paramilitary groups that are joined together as allied forces in a given context.
-
E.
engagedForces
Indicates that one force has actively committed or deployed its military units against another force in combat or operational interaction.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9ea088fc819090b9d5bbcb268671 |
completed | March 8, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.