Triple
T22778837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Cape Bon |
E563777
|
entity |
| Predicate | ItalianMission |
P105195
|
FINISHED |
| Object | reinforce Axis positions in North Africa |
—
|
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: reinforce Axis positions in North Africa | Statement: [Battle of Cape Bon, ItalianMission, reinforce Axis positions in North Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ItalianMission Context triple: [Battle of Cape Bon, ItalianMission, reinforce Axis positions in North Africa]
-
A.
ItalianObjective
chosen
Indicates that an entity has an objective, goal, or target specifically related to Italy or the Italian context.
-
B.
alignedItalyWith
Indicates that one entity brought Italy into political, military, or ideological agreement or cooperation with another entity.
-
C.
ItalianVersionClaimed
Indicates that an entity asserts or is reported to have an Italian-language version.
-
D.
italyParticipation
Indicates that an entity is involved in, takes part in, or is a participant in Italy-related events, activities, or contexts.
-
E.
isLargestUrbanCenterAtTipOfItalianPeninsula
Indicates that a city is the biggest urban center located at the southern tip of the Italian Peninsula.
- 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b631c6881908a6687920923dcf4 |
completed | April 29, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:28 p.m.