Triple
T5648749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luigi Cadorna |
E124447
|
entity |
| Predicate | numberOfIsonzoOffensivesDirected |
P57304
|
FINISHED |
| Object | 11 |
—
|
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: 11 | Statement: [Luigi Cadorna, numberOfIsonzoOffensivesDirected, 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfIsonzoOffensivesDirected Context triple: [Luigi Cadorna, numberOfIsonzoOffensivesDirected, 11]
-
A.
offensiveOperationBy
Indicates that an offensive military or strategic operation is carried out by a specified actor or entity.
-
B.
offensiveOperation
Indicates an action or campaign in which a party actively initiates hostile or military measures against an opponent.
-
C.
numberOfTroopsInvolved
Indicates the quantity of military personnel participating in or assigned to a specific operation, event, or engagement.
-
D.
offensiveForce
Indicates the use or application of aggressive or attacking power or violence by one entity against another.
-
E.
numberOfAttacks
chosen
Indicates the count of distinct attack events associated with a given entity or 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d2ed648190a5152c8668cbda02 |
completed | March 22, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69c01b2168508190b64b355cf50034ad |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:42 p.m.