Triple
T15841666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl-Gustaf M2 |
E384115
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object | Bofors |
E18029
|
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: Bofors | Statement: [Carl-Gustaf M2, designedBy, Bofors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bofors Context triple: [Carl-Gustaf M2, designedBy, Bofors]
-
A.
Bofors IK
Bofors IK is an ice hockey club based in Karlskoga, Sweden, known for competing in the country’s professional league system.
-
B.
Oerlikon
Oerlikon is a district in the north of Zurich, Switzerland, known as a major residential, commercial, and transportation hub of the city.
-
C.
Rheinmetall
Rheinmetall is a major German defense and automotive company best known for producing advanced military technologies, including the main armament and systems for modern battle tanks.
-
D.
Bofors (as an arms manufacturer)
chosen
Bofors is a Swedish arms manufacturer historically renowned for its artillery and anti-aircraft guns, which played a significant role in 20th-century warfare.
-
E.
Ruhrstahl
Ruhrstahl was a German armaments manufacturer best known for producing advanced World War II munitions and guided weapons.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e764088190afba6c5c1acf8199 |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa13eab4881908794104508ba53af |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:50 a.m.