Triple
T12830090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flight over Vienna |
E306759
|
entity |
| Predicate | typeOfLeaflets |
P107118
|
FINISHED |
| Object | propaganda leaflets |
—
|
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: propaganda leaflets | Statement: [Flight over Vienna, typeOfLeaflets, propaganda leaflets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLeaflets Context triple: [Flight over Vienna, typeOfLeaflets, propaganda leaflets]
-
A.
numberOfLeaflets
Indicates the count of individual leaflets associated with or contained within a given entity.
-
B.
leafType
Indicates the specific kind or classification of leaf associated with an entity.
-
C.
leafletsPerLeaf
Indicates the number of individual leaflets that are present on each single leaf.
-
D.
catalogueType
Indicates the classification or category assigned to an item within a catalogue or cataloging system.
-
E.
documentationType
Indicates the specific category or kind of documentation associated with or required for an entity or process.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa08cd481909a946046ba63809f |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9713e45a88190acd346f066093550 |
completed | April 10, 2026, 9:53 p.m. |
Created at: April 9, 2026, 5:34 p.m.