Triple
T9500903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eagle IV |
E229134
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Swiss Army |
E40711
|
NE 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: Swiss Army | Statement: [Eagle IV, usedBy, Swiss Army]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swiss Army Context triple: [Eagle IV, usedBy, Swiss Army]
-
A.
Swiss Army
chosen
The Swiss Army is Switzerland’s national military force, responsible for the country’s defense and organized primarily as a militia with a small professional core.
-
B.
Diemaco
Diemaco is a Canadian firearms manufacturer best known for producing and developing variants of the AR-15/M16 family of rifles for military and law enforcement use.
-
C.
Willich
Willich is a town in the German state of North Rhine-Westphalia, situated in the Lower Rhine region near the city of Krefeld.
-
D.
Ilster
The Ilster is a small river in Lower Saxony, Germany, known as one of the headwater streams contributing to the Örtze river system.
-
E.
Franchi
Franchi is an Italian firearms manufacturer best known for its shotguns, operating as a subsidiary of the Beretta Holding group.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983c308c8190bde6858ac1ca8ea5 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d439c6881909832afcc1154bca8 |
completed | April 4, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:57 p.m.