Triple
T3875621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venus Express |
E92493
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | EADS Astrium |
E6021
|
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: EADS Astrium | Statement: [Venus Express, manufacturer, EADS Astrium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EADS Astrium Context triple: [Venus Express, manufacturer, EADS Astrium]
-
A.
Thales Alenia Space Italia
Thales Alenia Space Italia is an Italian aerospace company specializing in the design and manufacture of satellites, space infrastructure, and related systems for civil, military, and scientific applications.
-
B.
ArianeGroup
ArianeGroup is a European aerospace company that designs, builds, and operates Ariane family launch vehicles and related space systems.
-
C.
Telespazio
Telespazio is a major European space services company specializing in satellite operations, telecommunications, Earth observation, and navigation solutions.
-
D.
Airbus
chosen
Airbus is a major European aerospace corporation known for designing and manufacturing commercial airliners such as the A320, A330, and A380 families.
-
E.
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.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec706434819095e0d2b376adb548 |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c87214881908e03f5c770c58713 |
completed | March 14, 2026, 8:29 a.m. |
Created at: March 9, 2026, 3:20 p.m.