Triple
T9593887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sea Viper missile system |
E231482
|
entity |
| Predicate | developedBy |
P73
|
FINISHED |
| Object | MBDA |
E411800
|
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: MBDA | Statement: [Sea Viper missile system, developedBy, MBDA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MBDA Context triple: [Sea Viper missile system, developedBy, MBDA]
-
A.
MBDA
MBDA is a U.S. federal agency dedicated to promoting the growth and competitiveness of minority-owned businesses through programs, services, and advocacy.
-
B.
MBDA France
chosen
MBDA France is a major European defense company specializing in the design and production of advanced missile systems and related technologies.
-
C.
MBDA Italy
MBDA Italy is the Italian branch of the European missile systems company MBDA, specializing in the design and production of advanced missile and air-defense technologies.
-
D.
MBDA Germany
MBDA Germany is a defense company specializing in the development and production of advanced missile systems and guided weapons for military applications.
-
E.
MBDA UK
MBDA UK is a British armaments company specializing in the design and production of advanced missile systems for military forces.
- 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_69ca8482884481908eccdfdf64d6fbf7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a134b0c81908a568e5d2ecfbb92 |
completed | April 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1791e330881908a6ad31a5bdbccec |
completed | April 4, 2026, 8:48 p.m. |
Created at: March 30, 2026, 8:07 p.m.