Triple
T16179432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rover Group |
E392647
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | BAe |
E94228
|
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 | Statement: [Rover Group, ownedBy, BAe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BAe Context triple: [Rover Group, ownedBy, BAe]
-
A.
BAE
BAE is an abbreviation for the Bureau of American Ethnology, a former U.S. government research agency dedicated to the study and documentation of Indigenous peoples of the Americas.
-
B.
BAE
BAE is the station code for Bellas Artes, a public transit stop likely serving a central cultural or arts district in its city.
-
C.
British Aerospace
chosen
British Aerospace was a major British aircraft and defense manufacturer that became one of the core predecessors of today’s BAE Systems.
-
D.
BAE Systems
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.
-
E.
BAe ATP
The BAe ATP is a British twin-turboprop regional airliner developed in the 1980s by British Aerospace as a modern, quieter, and more fuel-efficient short-haul passenger 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205b88b481908ecdd8d663dc668b |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0022148190bc1810e76cf6d994 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.