Triple
T5241329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Democratic Party (Norway) |
E118347
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
KrF
KrF is a centrist Christian democratic political party in Norway known for its focus on family values, social welfare, and Christian ethics in politics.
|
E505022
|
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: KrF | Statement: [Christian Democratic Party (Norway), shortName, KrF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KrF Context triple: [Christian Democratic Party (Norway), shortName, KrF]
-
A.
KR
KR is the vehicle registration code used on license plates for the German city of Krefeld.
-
B.
KR
KR is the stock ticker symbol for The Kroger Co., one of the largest supermarket chains in the United States.
-
C.
KNF
KNF is the IATA airport code for RAF Marham, a Royal Air Force station in Norfolk, England.
-
D.
KAF
KAF is the Kenya Air Force, the aerial warfare branch of the Kenya Defence Forces responsible for defending Kenyan airspace and providing air support to military operations.
-
E.
RKR
RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
- 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: KrF Triple: [Christian Democratic Party (Norway), shortName, KrF]
Generated description
KrF is a centrist Christian democratic political party in Norway known for its focus on family values, social welfare, and Christian ethics in politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KrF Target entity description: KrF is a centrist Christian democratic political party in Norway known for its focus on family values, social welfare, and Christian ethics in politics.
-
A.
KR
KR is the vehicle registration code used on license plates for the German city of Krefeld.
-
B.
KR
KR is the stock ticker symbol for The Kroger Co., one of the largest supermarket chains in the United States.
-
C.
KNF
KNF is the IATA airport code for RAF Marham, a Royal Air Force station in Norfolk, England.
-
D.
KAF
KAF is the Kenya Air Force, the aerial warfare branch of the Kenya Defence Forces responsible for defending Kenyan airspace and providing air support to military operations.
-
E.
RKR
RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b2c50508190b84bab216c30cbfe |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef82b42308190b9e3e0e113d8093b |
completed | March 21, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69bef8bfcd1c819090b81f8ebb097c5b |
completed | March 21, 2026, 8 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef95e7ce48190a1ec2fc27ce37d00 |
completed | March 21, 2026, 8:02 p.m. |
Created at: March 20, 2026, 1:49 p.m.