Triple
T20481974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuttgart Schwabstraße |
E502477
|
entity |
| Predicate | hasService |
P182
|
FINISHED |
| Object | S60 |
—
|
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: S60 | Statement: [Stuttgart Schwabstraße, hasService, S60]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S60 Context triple: [Stuttgart Schwabstraße, hasService, S60]
-
A.
S60
S60 is a Symbian-based mobile software platform and user interface used primarily on Nokia smartphones in the 2000s.
-
B.
S60
chosen
S60 is a commuter rail line within the Stuttgart S-Bahn network in Germany, providing regional passenger service between suburban areas and the city.
-
C.
Series 60
Series 60 is a mobile phone software platform and user interface developed by Nokia for its Symbian-based smartphones.
-
D.
Volvo S60
The Volvo S60 is a compact executive sedan known for its Scandinavian design, strong safety features, and comfortable, refined driving experience.
-
E.
Nokia Drive
Nokia Drive is a turn-by-turn GPS navigation application developed by Nokia for its smartphones, offering offline maps and voice-guided directions.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b57fa9c819091d12320d46a0cee |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.