Triple
T24233119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adriatic sector of the Italian Front |
E601791
|
entity |
| Predicate | frontCharacteristic |
P14070
|
FINISHED |
| Object | combination of land and naval operations |
—
|
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: combination of land and naval operations | Statement: [Adriatic sector of the Italian Front, frontCharacteristic, combination of land and naval operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontCharacteristic Context triple: [Adriatic sector of the Italian Front, frontCharacteristic, combination of land and naval operations]
-
A.
frontType
Indicates the type or category of a front (e.g., boundary or leading side) that one entity presents or forms relative to another.
-
B.
frontMaterial
Indicates that one entity is the material that forms the front surface or front-facing part of another entity.
-
C.
front
Indicates that one entity is located directly before or facing another entity along a primary viewing or movement direction.
-
D.
frontIn
Indicates that one entity is positioned directly in front of another entity in space or sequence.
-
E.
frontLineFeature
chosen
Indicates that the subject is a prominent or leading characteristic that stands out at the forefront relative to others.
- 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_69e29538aafc8190a2386fdebbd1393b |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f28a98a6a4819085ab955654fa444f |
completed | April 29, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:02 a.m.