Triple
T5193580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuttgart S-Bahn |
E117213
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Flughafen/Messe |
E94560
|
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: Flughafen/Messe | Statement: [Stuttgart S-Bahn, hasStation, Flughafen/Messe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flughafen/Messe Context triple: [Stuttgart S-Bahn, hasStation, Flughafen/Messe]
-
A.
Aeroport
Aeroport is a Moscow Metro station on the Zamoskvoretskaya Line, named after the nearby Khodynka Aerodrome area.
-
B.
Flughafen
chosen
Flughafen is the Nuremberg U-Bahn station that serves Nuremberg Airport, providing direct metro access between the airport and the city.
-
C.
Munich Airport
Munich Airport is a major international aviation hub in Bavaria, Germany, serving as one of the country’s busiest airports and a key base for Lufthansa.
-
D.
Nuremberg Airport
Nuremberg Airport is an international airport in northern Bavaria, Germany, serving the city of Nuremberg and the surrounding Franconia region with passenger and cargo flights.
-
E.
Karlsruhe/Baden-Baden Airport
Karlsruhe/Baden-Baden Airport is a regional international airport in southwestern Germany serving the Karlsruhe and Baden-Baden area with low-cost and charter flights.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79f142488190bc6c57b8ff7ef894 |
completed | March 20, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee09743e08190a3a73fb410a6f124 |
completed | March 21, 2026, 6:16 p.m. |
Created at: March 20, 2026, 1:46 p.m.