Triple
T10817193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SWR |
E255261
|
entity |
| Predicate | associatedCallsign |
P1565
|
FINISHED |
| Object | SWISS |
E253279
|
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: SWISS | Statement: [SWR, associatedCallsign, SWISS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SWISS Context triple: [SWR, associatedCallsign, SWISS]
-
A.
SWISS
chosen
SWISS is the callsign used by Swiss International Air Lines, the flag carrier airline of Switzerland.
-
B.
Swiss
Swiss refers to something or someone from Switzerland, a central European country known for its neutrality, multilingual culture, and high standard of living.
-
C.
Schweizer
Schweizer is one of the key members of Karl Moor’s band of outlaws in Friedrich Schiller’s play "Die Räuber," embodying the rebellious and violent spirit of the robbers.
-
D.
Zwyssig
Zwyssig is a Swiss surname most notably associated with Alberich Zwyssig, the composer of the Swiss national anthem.
-
E.
Berner
A Berner is a resident or native of the Swiss city of Bern.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733eea03c8190a68f4d4f89f497a2 |
completed | April 9, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de855799748190b51745a198daa8d0 |
completed | April 14, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:18 p.m.