Triple
T8294105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EADS CASA |
E193971
|
entity |
| Predicate | divisionOf |
P6848
|
FINISHED |
| Object | Airbus Defence and Space |
E498812
|
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: Airbus Defence and Space | Statement: [EADS CASA, divisionOf, Airbus Defence and Space]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Airbus Defence and Space Context triple: [EADS CASA, divisionOf, Airbus Defence and Space]
-
A.
EADS
chosen
EADS (European Aeronautic Defence and Space Company) was a major European aerospace and defense corporation that later became part of Airbus Group.
-
B.
Astrium
Astrium was a major European aerospace company specializing in the design and manufacture of satellites, space systems, and launch vehicle components.
-
C.
Airbus
Airbus is a major European aerospace corporation known for designing and manufacturing commercial airliners such as the A320, A330, and A380 families.
-
D.
ArianeGroup
ArianeGroup is a European aerospace company that designs, builds, and operates Ariane family launch vehicles and related space systems.
-
E.
Aérospatiale
Aérospatiale was a major French aerospace manufacturer and state-owned company that played a key role in European aviation and space projects, including as a founding partner of Airbus.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7df5fff88190ac51a8d1c3eb2fe2 |
completed | March 31, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd952e038c819090023cbcdab1e3ae |
completed | April 1, 2026, 9:59 p.m. |
Created at: March 30, 2026, 5:52 p.m.