Triple
T15924183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RBE2-AA |
E386164
|
entity |
| Predicate | supportsWeapon |
P17728
|
FINISHED |
| Object | MBDA Meteor |
E1101078
|
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 Meteor | Statement: [RBE2-AA, supportsWeapon, MBDA Meteor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MBDA Meteor Context triple: [RBE2-AA, supportsWeapon, MBDA Meteor]
-
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
chosen
MBDA is a leading European multinational developer and manufacturer of missile systems and related defense technologies.
-
C.
MBDA France
MBDA France is a major European defense company specializing in the design and production of advanced missile systems and related technologies.
-
D.
Martlet (LMM) missile
The Martlet (LMM) missile is a lightweight, precision-guided air-to-surface and surface-to-surface weapon developed by the UK primarily for use against small, fast-moving maritime and land targets.
-
E.
IRIS-T missile
The IRIS-T missile is a modern European short-range air-to-air missile known for its high agility, advanced infrared seeker, and effectiveness in close-combat engagements.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1568424f08190bffe6ee465a0db9a |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5aba70c8190a74c45bce6f9b782 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:52 a.m.