Triple
T12474923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Adwa |
E298150
|
entity |
| Predicate | ItalianObjective |
P105195
|
FINISHED |
| Object | impose Italian protectorate over Ethiopia |
—
|
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: impose Italian protectorate over Ethiopia | Statement: [Battle of Adwa, ItalianObjective, impose Italian protectorate over Ethiopia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ItalianObjective Context triple: [Battle of Adwa, ItalianObjective, impose Italian protectorate over Ethiopia]
-
A.
cognateInItalian
Indicates that a word has a cognate (a related word with a common etymological origin) in Italian.
-
B.
isLargestUrbanCenterAtTipOfItalianPeninsula
Indicates that a city is the biggest urban center located at the southern tip of the Italian Peninsula.
-
C.
italyParticipation
Indicates that an entity is involved in, takes part in, or is a participant in Italy-related events, activities, or contexts.
-
D.
locatedInRegionOfItaly
Indicates that an entity is geographically situated within a specific region of Italy.
-
E.
nameInItalian
Indicates that one entity is the Italian-language name or label used to refer to another entity.
- F. None of above. chosen
Provenance (4 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e626dbc8190ac7dcdb542ba9b0c |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d3f701c81909dd0e00251ac8553 |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d94e5f8d04819086d1ad4d62364005 |
completed | April 10, 2026, 7:24 p.m. |
Created at: April 8, 2026, 9:56 p.m.