Triple
T15588352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Commission against Racism |
E374679
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
EKR
EKR is the Swiss Federal Commission against Racism, an independent expert body that advises authorities and promotes measures to combat racism and discrimination in Switzerland.
|
E1165111
|
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: EKR | Statement: [Federal Commission against Racism, abbreviation, EKR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EKR Context triple: [Federal Commission against Racism, abbreviation, EKR]
-
A.
EKiR
EKiR is the Evangelical Church in the Rhineland, a regional Protestant church body within the Evangelical Church in Germany (EKD).
-
B.
EKM
EKM is a Protestant regional church body in Germany that forms part of the Evangelical Church in Germany (EKD).
-
C.
EKL
EKL is the National Rail station code for East Kilbride railway station in South Lanarkshire, Scotland.
-
D.
EKL
EKL is the abbreviation for the Estonian Defence League, a voluntary national defence organization supporting Estonia’s military and civil security.
-
E.
Ek
Ek is a Swedish surname borne by several notable figures, including politicians and entrepreneurs.
- 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: EKR Triple: [Federal Commission against Racism, abbreviation, EKR]
Generated description
EKR is the Swiss Federal Commission against Racism, an independent expert body that advises authorities and promotes measures to combat racism and discrimination in Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EKR Target entity description: EKR is the Swiss Federal Commission against Racism, an independent expert body that advises authorities and promotes measures to combat racism and discrimination in Switzerland.
-
A.
EKiR
EKiR is the Evangelical Church in the Rhineland, a regional Protestant church body within the Evangelical Church in Germany (EKD).
-
B.
EKM
EKM is a Protestant regional church body in Germany that forms part of the Evangelical Church in Germany (EKD).
-
C.
EKL
EKL is the abbreviation for the Estonian Defence League, a voluntary national defence organization supporting Estonia’s military and civil security.
-
D.
EKL
EKL is the National Rail station code for East Kilbride railway station in South Lanarkshire, Scotland.
-
E.
Ek
Ek is a Swedish surname borne by several notable figures, including politicians and entrepreneurs.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e4a19708190936118d569f3436d |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c53617c8190b4367eee351dc025 |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff4d5de6ec8190ab82ac78bb70a432 |
completed | May 9, 2026, 3:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff4dd868388190a159618c1fdcf15c |
completed | May 9, 2026, 3:08 p.m. |
Created at: April 10, 2026, 4:11 a.m.