Triple
T31156940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Dogali |
E794234
|
entity |
| Predicate | hasApproximateItalianStrength |
P186203
|
FINISHED |
| Object | about 500–600 Italian troops |
—
|
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: about 500–600 Italian troops | Statement: [Battle of Dogali, hasApproximateItalianStrength, about 500–600 Italian troops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateItalianStrength Context triple: [Battle of Dogali, hasApproximateItalianStrength, about 500–600 Italian troops]
-
A.
ItalianStrength
chosen
Indicates a relationship where an entity possesses strength, power, or intensity specifically associated with Italy or Italian characteristics.
-
B.
ItalianVersionClaimed
Indicates that an entity asserts or is reported to have an Italian-language version.
-
C.
alignedItalyWith
Indicates that one entity brought Italy into political, military, or ideological agreement or cooperation with another entity.
-
D.
approximateStrengthFrancoBavarian
Indicates an estimated or inferred degree of strength or intensity in the Franco-Bavarian relationship or interaction.
-
E.
hasAcronymInItalian
Indicates that an entity is associated with an acronym specifically in the Italian language.
- 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_69f224d504908190b01278dcb7fc3fa7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: April 29, 2026, 9:07 p.m.