Triple
T21205515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgsmarienhütte |
E522566
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | OS |
—
|
NE NERFINISHED |
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: [Georgsmarienhütte, vehicleRegistrationCode, OS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OS Context triple: [Georgsmarienhütte, vehicleRegistrationCode, OS]
-
A.
OS
OS is the two-letter IATA airline designator assigned to Austrian Airlines, the flag carrier of Austria.
-
B.
OS
chosen
OS is the vehicle registration code for the German city of Osnabrück and its surrounding district.
-
C.
OS
OS is the vehicle registration code used on license plates for vehicles registered in Oslo, Norway.
-
D.
Os
Os is a village in Vestland county, Norway, known as a local commercial and cultural hub along the Bjørnafjorden.
-
E.
OSE
OSE is the Oslo Stock Exchange, Norway’s primary securities market for trading shares, bonds, and other financial instruments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734342e9081909e241bed54dbc0b4 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 3:20 p.m.