Triple
T5464409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osnabrück Hauptbahnhof |
E122670
|
entity |
| Predicate | hasStationCode |
P1289
|
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 Hauptbahnhof, hasStationCode, OS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OS Context triple: [Osnabrück Hauptbahnhof, hasStationCode, OS]
-
A.
OS
chosen
OS is the vehicle registration code for the German city of Osnabrück and its surrounding district.
-
B.
OS
OS is the two-letter IATA airline designator assigned to Austrian Airlines, the flag carrier of Austria.
-
C.
OSE
OSE is the abbreviation for the Osaka Securities Exchange, a major Japanese stock exchange based in Osaka.
-
D.
OS SR
OS SR is the official abbreviation for the Slovak Armed Forces, the military organization responsible for the defense of Slovakia.
-
E.
OS/2
OS/2 is a 32-bit multitasking operating system originally developed by IBM and Microsoft as a successor to MS-DOS, known for its stability and use in business environments in the late 1980s and 1990s.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9204504c81908d638da6f0e271a7 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf415146988190823ab77b091231a1 |
completed | March 22, 2026, 1:09 a.m. |
Created at: March 20, 2026, 2:08 p.m.