Triple
T8680261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ALARM |
E206018
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | BAe Dynamics |
E13264
|
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: BAe Dynamics | Statement: [ALARM, manufacturer, BAe Dynamics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BAe Dynamics Context triple: [ALARM, manufacturer, BAe Dynamics]
-
A.
BAE Systems
chosen
BAE Systems is a major British multinational defense, security, and aerospace company that designs and manufactures advanced military aircraft, naval vessels, and other defense technologies.
-
B.
British Aerospace
British Aerospace was a major British aircraft and defense manufacturer that became one of the core predecessors of today’s BAE Systems.
-
C.
Marshall Aerospace
Marshall Aerospace is a British aerospace engineering and defense company known for its aircraft maintenance, modification, and conversion services for military and civilian fleets.
-
D.
Hawker Siddeley
Hawker Siddeley was a major British aircraft manufacturing and engineering conglomerate known for producing military and civil aircraft during the mid-20th century.
-
E.
Babcock International
Babcock International is a British aerospace, defense, and engineering services company that provides critical support to military and civil organizations, particularly in naval and nuclear sectors.
- 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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc49fa6040819084cb3fe09cd0f109 |
completed | March 31, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3b2be2081908a8744b77c4753f2 |
completed | April 2, 2026, 10:54 p.m. |
Created at: March 30, 2026, 6:32 p.m.