Triple
T8413746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aegis |
E198682
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Domain/OS |
E198681
|
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: Domain/OS | Statement: [Aegis, influenced, Domain/OS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Domain/OS Context triple: [Aegis, influenced, Domain/OS]
-
A.
Domain/OS
chosen
Domain/OS was a distributed, network-centric operating system developed by Apollo Computer for its Apollo/Domain series of engineering workstations.
-
B.
OS
OS is the vehicle registration code for the German city of Osnabrück and its surrounding district.
-
C.
OS
OS is the two-letter IATA airline designator assigned to Austrian Airlines, the flag carrier of Austria.
-
D.
OS
OS is the vehicle registration code used on license plates for vehicles registered in Oslo, Norway.
-
E.
System
System is a core .NET namespace that provides fundamental classes and base types essential for building .NET applications.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e328cc8190b3b038005d0bb66f |
completed | March 31, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3988932c8190969c4c0295348636 |
completed | April 2, 2026, 9:40 a.m. |
Created at: March 30, 2026, 6:06 p.m.