Triple
T18857181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ŻW shoulder patch |
E461202
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | ŻW |
—
|
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: ŻW | Statement: [ŻW shoulder patch, hasAbbreviation, ŻW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ŻW Context triple: [ŻW shoulder patch, hasAbbreviation, ŻW]
-
A.
ŻW
chosen
ŻW is the abbreviated name of Poland’s Military Gendarmerie, the armed forces’ military police force responsible for law enforcement and security within the Polish military.
-
B.
ŻZW
ŻZW was a Jewish underground resistance organization in Nazi-occupied Poland, best known for its significant role in the 1943 Warsaw Ghetto Uprising.
-
C.
ZW
ZW is the ISO 3166-1 alpha-2 country code for Zimbabwe, a landlocked country in southern Africa.
-
D.
WZ
WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
-
E.
WZE
WZE is a Polish defense electronics company specializing in the development, production, and modernization of military electronic systems and equipment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05de3e88190b0bfcbce906daa5e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:57 a.m.