Triple
T19905551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SC Bern |
E478404
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
SCB
SCB is the commonly used abbreviation for SC Bern, a professional ice hockey club based in Bern, Switzerland.
|
E1400802
|
NE FINISHED |
How this triple was built (4 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: SCB | Statement: [SC Bern, shortName, SCB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SCB Context triple: [SC Bern, shortName, SCB]
-
A.
SCB
SCB is the national statistical agency of Sweden responsible for producing official statistics and data for government, researchers, and the public.
-
B.
SCB
SCB was a 19th-century Swiss railway company that played a key role in developing the country’s early rail network.
-
C.
SCBC
SCBC is the rowing club of Selwyn College at the University of Cambridge, competing in college and university rowing events.
-
D.
SCB-27
SCB-27 was a major U.S. Navy post–World War II modernization program that extensively rebuilt Essex-class aircraft carriers to operate heavier, faster jet aircraft.
-
E.
SBCG
SBCG is the ICAO airport code for Campo Grande Air Base, a Brazilian Air Force installation located in Campo Grande, Brazil.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SCB Triple: [SC Bern, shortName, SCB]
Generated description
SCB is the commonly used abbreviation for SC Bern, a professional ice hockey club based in Bern, Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SCB Target entity description: SCB is the commonly used abbreviation for SC Bern, a professional ice hockey club based in Bern, Switzerland.
-
A.
SCB
SCB was a 19th-century Swiss railway company that played a key role in developing the country’s early rail network.
-
B.
SCB
SCB is the national statistical agency of Sweden responsible for producing official statistics and data for government, researchers, and the public.
-
C.
SCBC
SCBC is the rowing club of Selwyn College at the University of Cambridge, competing in college and university rowing events.
-
D.
SCB-27
SCB-27 was a major U.S. Navy post–World War II modernization program that extensively rebuilt Essex-class aircraft carriers to operate heavier, faster jet aircraft.
-
E.
SBCG
SBCG is the ICAO airport code for Campo Grande Air Base, a Brazilian Air Force installation located in Campo Grande, Brazil.
- F. None of above. chosen
Provenance (5 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65946916881909c3f52208c07aa64 |
completed | April 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ea494af08190ac8c43797bff5012 |
completed | May 16, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_6a07ee6d8ef481908987eef826425806 |
completed | May 16, 2026, 4:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07eec5b4788190b697a0b7382b5c2b |
completed | May 16, 2026, 4:12 a.m. |
Created at: April 10, 2026, 1:52 p.m.