Triple
T17063980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IRIS-T |
E414034
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Diehl Defence |
E885598
|
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: Diehl Defence | Statement: [IRIS-T, developer, Diehl Defence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diehl Defence Context triple: [IRIS-T, developer, Diehl Defence]
-
A.
Diehl BGT Defence
chosen
Diehl BGT Defence is a German defense company specializing in advanced guided missile and air defense systems.
-
B.
Diehl
Diehl is the middle name of Newton D. Baker, an American lawyer and politician who served as U.S. Secretary of War during World War I.
-
C.
RUAG Aerospace
RUAG Aerospace is a Swiss aerospace company specializing in the development and production of advanced aerostructures, space technology, and defense-related aviation systems.
-
D.
Krauss-Maffei Wegmann
Krauss-Maffei Wegmann is a German defense company specializing in the design and production of armored vehicles and military land systems.
-
E.
Panavia Aircraft GmbH
Panavia Aircraft GmbH is a multinational aerospace consortium formed by the UK, Germany, and Italy to design, develop, and produce the Panavia Tornado combat aircraft.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7f6a6081909bebce3ce925e663 |
completed | April 18, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01234e9a94819094618ba43b7d22b4 |
completed | May 11, 2026, 12:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.