Triple
T13512821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patria Nemo |
E322680
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Patria |
E62007
|
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 | Statement: [Patria Nemo, manufacturer, Patria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patria Context triple: [Patria Nemo, manufacturer, Patria]
-
A.
Patria
chosen
Patria is a Finnish defense industry company known for developing and manufacturing military vehicles, systems, and related defense solutions.
-
B.
Patria
Patria was a passenger ship best known for its tragic 1940 sinking in Haifa harbor, which killed hundreds of Jewish refugees during an attempt to prevent their deportation by British authorities.
-
C.
Patria Nueva
Patria Nueva was the period of Chilean history marked by the successful re-establishment and consolidation of independence following the end of Spanish royalist control.
-
D.
Madre de la Patria
Madre de la Patria is an honorific title bestowed on Leona Vicario, recognizing her as a key founding mother and heroine of Mexico’s independence.
-
E.
Pro Patria
Pro Patria is the Latin regimental motto of The Royal Canadian Regiment, expressing its dedication to service “for country.”
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf87ca288190a147fbdb2f90985f |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d3afa0c81908733f3fd193d4e0f |
completed | May 3, 2026, 7:08 p.m. |
Created at: April 9, 2026, 9:44 p.m.