Triple
T3061612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patria |
E62007
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Patria Systems |
E62006
|
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: Patria Systems | Statement: [Patria, hasSubsidiary, Patria Systems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patria Systems Context triple: [Patria, hasSubsidiary, Patria Systems]
-
A.
Indra Sistemas
Indra Sistemas is a Spanish multinational technology and defense company specializing in information technology, simulation, and advanced electronic systems for civil and military applications.
-
B.
Nexter Systems
Nexter Systems is a French defense company specializing in the design and manufacture of military land systems, including armored vehicles, artillery, and ammunition.
-
C.
Santa Bárbara Sistemas
Santa Bárbara Sistemas is a Spanish defense contractor known for designing and producing armored vehicles and other military equipment.
-
D.
Patria Land Systems
chosen
Patria Land Systems is a Finnish defense company specializing in the design and production of armored military vehicles and related land warfare systems.
-
E.
Unisys
Unisys is an American global information technology company known for providing IT services, software, and infrastructure solutions to government and commercial clients.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e9f33d88190bd481cb7f18ceb91 |
completed | March 8, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef0e757481908eb1d9693474c49d |
completed | March 11, 2026, 10:39 p.m. |
Created at: March 8, 2026, 3:02 p.m.