Triple
T1024749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osnabrück |
E22113
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | OS |
E77449
|
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: OS | Statement: [Osnabrück, vehicleRegistrationCode, OS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OS Context triple: [Osnabrück, vehicleRegistrationCode, OS]
-
A.
OS
chosen
OS is the vehicle registration code for the German city of Osnabrück and its surrounding district.
-
B.
Windows
Windows is a widely used family of graphical operating systems developed by Microsoft for personal computers, servers, and other devices.
-
C.
OSCT
OSCT is the acronym for the UK government’s Office for Security and Counter-Terrorism, which leads national strategy and policy on counter-terrorism and security.
-
D.
Windows NT
Windows NT is a family of Microsoft operating systems designed with a robust, secure, and modular architecture for professional and enterprise use.
-
E.
Solaris operating system
Solaris operating system is a Unix-based enterprise operating system known for its scalability, robustness, and advanced features such as ZFS, DTrace, and strong support for SPARC and x86 architectures.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7e28df08190b5be7794442a6f21 |
completed | March 1, 2026, 10:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bb83118819098a2b283a1cbf8d6 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.