Triple
T26939916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 304 Polish Bomber Squadron |
E678482
|
entity |
| Predicate | nationalInsignia |
P73103
|
FINISHED |
| Object | Polish Air Force checkerboard |
—
|
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: Polish Air Force checkerboard | Statement: [No. 304 Polish Bomber Squadron, nationalInsignia, Polish Air Force checkerboard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalInsignia Context triple: [No. 304 Polish Bomber Squadron, nationalInsignia, Polish Air Force checkerboard]
-
A.
nationalFlag
Indicates that one entity is the official national flag representing the other entity (a country or nation).
-
B.
officialFlagOf
Indicates that one entity is the formally recognized flag that represents another entity (such as a country, organization, or region).
-
C.
hasNationalSymbol
Indicates that an entity possesses or is associated with an officially recognized national symbol of a country or nation.
-
D.
flagOrInsignia
chosen
Indicates that one entity serves as a flag, emblem, or insignia representing another entity.
-
E.
nationalFlagColor
Indicates that a specific color appears on the national flag of a given country.
- 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 27, 2026, 6:17 a.m.