Triple
T28154528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landesschützen |
E714705
|
entity |
| Predicate | primaryOpponentTheater |
P139535
|
FINISHED |
| Object | Italian Front |
—
|
NE NERFINISHED |
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: Italian Front | Statement: [Landesschützen, primaryOpponentTheater, Italian Front]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryOpponentTheater Context triple: [Landesschützen, primaryOpponentTheater, Italian Front]
-
A.
primaryBattlefieldOf
Indicates that a specified location serves as the main or most significant battlefield where a particular conflict or war primarily took place.
-
B.
primaryOpposingCommanderUS
Indicates that the referenced person is the main opposing military commander of the United States in a given conflict or operation.
-
C.
primaryOpposingCountry
Indicates that one country is the main or principal adversary or opponent of another country in a conflict, rivalry, or opposition.
-
D.
hasPrimaryTheatreOfWar
chosen
Indicates that an armed conflict or military operation is chiefly conducted within a particular geographic theatre or region of war.
-
E.
primaryIslandOfOperation
Indicates that an entity mainly conducts its activities or operations on a specified island.
- 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_69efd6b033208190bf74f80a147e2092 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69ffff262fac8190a26ed0577e1860bd |
completed | May 10, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69fffcad7d7c8190a4ad7bb35e33bb75 |
completed | May 10, 2026, 3:34 a.m. |
Created at: April 27, 2026, 10:01 p.m.